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826 results on '"Murtagh F"'

5. Tag Clouds for Displaying Semantics: The Case of Filmscripts

Author

Murtagh, F., Ganz, A., McKie, S., Mothe, J., and Englmeier, K.

Subjects
Computer Science - Artificial Intelligence, I.5.4, I.2.7, H.3.1
Abstract

We relate tag clouds to other forms of visualization, including planar or reduced dimensionality mapping, and Kohonen self-organizing maps. Using a modified tag cloud visualization, we incorporate other information into it, including text sequence and most pertinent words. Our notion of word pertinence goes beyond just word frequency and instead takes a word in a mathematical sense as located at the average of all of its pairwise relationships. We capture semantics through context, taken as all pairwise relationships. Our domain of application is that of filmscript analysis. The analysis of filmscripts, always important for cinema, is experiencing a major gain in importance in the context of television. Our objective in this work is to visualize the semantics of filmscript, and beyond filmscript any other partially structured, time-ordered, sequence of text segments. In particular we develop an innovative approach to plot characterization., Comment: 23 pages, 7 figures

Published
2009
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6. Ontology from Local Hierarchical Structure in Text

Author

Murtagh, F., Mothe, J., and Englmeier, K.

Subjects
Computer Science - Information Retrieval, H.5, I.5.3, H.5.2, I.7.2, H.3
Abstract

We study the notion of hierarchy in the context of visualizing textual data and navigating text collections. A formal framework for ``hierarchy'' is given by an ultrametric topology. This provides us with a theoretical foundation for concept hierarchy creation. A major objective is {\em scalable} annotation or labeling of concept maps. Serendipitously we pursue other objectives such as deriving common word pair (and triplet) phrases, i.e., word 2- and 3-grams. We evaluate our approach using (i) a collection of texts, (ii) a single text subdivided into successive parts (for which we provide an interactive demonstrator), and (iii) a text subdivided at the sentence or line level. While detailing a generic framework, a distinguishing feature of our work is that we focus on {\em locality} of hierarchic structure in order to extract semantic information., Comment: 35 pp., 12 figures

Published
2007

7. The application of a Trous wave filtering and Monte Carlo analysis on SECIS 2001 solar eclipse observations

Author

Katsiyannis, A. C. and Murtagh, F.

Subjects
Astrophysics
Abstract

8000 images of the Solar corona were captured during the June 2001 total Solar eclipse. New software for the alignment of the images and an automated technique for detecting intensity oscillations using multi scale wavelet analysis were developed. Large areas of the images covered by the Moon and the upper corona were scanned for oscillations and the statistical properties of the atmospheric effects were determined. The a Trous wavelet transform was used for noise reduction and Monte Carlo analysis as a significance test of the detections. The effectiveness of those techniques is discussed in detail., Comment: 17 pages, 8 figures, accepted by Solar Physics Journal for publication in Topical Issue: "Frontiers in Solar Image Processing"

Published
2005
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8. Initial results from SECIS observations of the 2001 eclipse

Author

Katsiyannis, A. C., Williams, D. R., Murtagh, F., McAteer, R. T. J., and Keenan, F. P.

Subjects
Astrophysics
Abstract

SECIS observations of the June 2001 total solar eclipse were taken using an Fe {\sc xiv} 5303 {\AA} filter. Automated tools based on wavelet analysis was used to detect intensity oscillations on various areas of the images. Statistical analysis of the detections found in the areas covered by the moon and the upper corona allowed us to estimate the atmospheric and instrumental effects on the detection of intensity oscillations. An area of the lower corona, close to Active Region 9513, was found with a statistically significant amount of intensity oscillations with periodicity of $\sim7.5s$. The shape of the wavelet transformation of those detections matches theoretical predictions of sausage-mode perturbations and for the first time in the SECIS project, second order oscillations were also detected., Comment: 6 pages, 6 figures, SOHO 15 Coronal Heating conference, proceedings to be published by ESA

Published
2004

9. Eclipse observations of high-frequency oscillations in active region coronal loops

Author

Katsiyannis, A. C., Williams, D. R., McAteer, R. T. J., Gallagher, P. T., Keenan, F. P., and Murtagh, F.

Subjects
Astrophysics
Abstract

One of the mechanisms proposed for heating the corona above solar active regions is the damping of magnetohydrodynamic (MHD) waves. Continuing on previous work, we provide observational evidence for the existence of high-frequency MHD waves in coronal loops observed during the August 1999 total solar eclipse. A wavelet analysis is used to identify twenty 4x4 arcsec2 areas showing intensity oscillations. All detections lie in the frequency Hz (5-3 s), last for at least 3 periods at a confidence level of more than 99% and arise just outside known coronal loops. This leads us to suggest that they occur in low emission-measure or different temperature loops associated with the active region., Comment: 6 pages, 6 figures

Published
2003
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12. Dynamical Recurrent Neural Networks: Towards Environmental Time Series Prediction}

Author

Aussem, A., Murtagh, F., and Sarazin, M.

Subjects
Computer Science: Artificial Intelligence, Computer Science: Dynamical Systems, Computer Science: Neural Nets, Computer Science: Speech, Artificial Intelligence, Dynamical Systems, Neural Nets, Speech
Abstract

Dynamical Recurrent Neural Networks (DRNN) (Aussem 1995a) are a class of fully recurrent networks obtained by modeling synapses as autoregressive filters. By virtue of their internal dynamic, these networks approximate the underlying law governing the time series by a system of nonlinear difference equations of internal variables. They therefore provide history-sensitive forecasts without having to be explicitly fed with external memory. The model is trained by a local and recursive error propagation algorithm called temporal-recurrent-backpropagation. The efficiency of the procedure benefits from the exponential decay of the gradient terms backpropagated through the adjoint network. We assess the predictive ability of the DRNN model with meteorological and astronomical time series recorded around the candidate observation sites for the future VLT telescope. The hope is that reliable environmental forecasts provided with the model will allow the modern telescopes to be preset, a few hours in advance, in the most suited instrumental mode. In this perspective, the model is first appraised on precipitation measurements with traditional nonlinear AR and ARMA techniques using feedforward networks. Then we tackle a complex problem, namely the prediction of astronomical seeing, known to be a very erratic time series. A fuzzy coding approach is used to reduce the complexity of the underlying laws governing the seeing. Then, a fuzzy correspondence analysis is carried out to explore the internal relationships in the data. Based on a carefully selected set of meteorological variables at the same time-point, a nonlinear multiple regression, termed {\em nowcasting} (Murtagh et al.\ 1993, 1995), is carried out on the fuzzily coded seeing records. The DRNN is shown to outperform the fuzzy {\em k}-nearest neighbors method.

Published
1995

13. Network Resources for Astronomers

Author

Andernach, H., Hanisch, R. J., and Murtagh, F.

Subjects
Astrophysics
Abstract

The amount of data produced by large observational facilities and space missions has led to the archiving and on-line accessibility of much of this data, available to the entire astronomical community. This allows a much wider multi-frequency approach to astronomical research than previously possible. Here we provide an overview of these services, and give a basic description of their contents and possibilities for accessing them. Apart from services providing observational data, many of those providing general information, e.g. on addresses, bibliographies, software etc. are also described. The field is rapidly growing with improved network technology, and our attempt to keep the report as complete and up-to-date as possible will inevitably be outdated shortly. We will endeavor to maintain an updated version of this document on-line., Comment: 53 pages; uuencoded compressed PostScript; includes one table, no figures; Lyon-41 (Aug'94) and ESO-1033 (Sept'94), to appear in PASP, November 1994 issue

Published
1994
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25. Referral Criteria to Specialist Palliative Care for People with Advanced Chronic Kidney Disease: A Systematic Review

Author

Collins, A, Hui, D, Davison, SN, Ducharlet, K, Murtagh, F, Chang, YK, Philip, J, Collins, A, Hui, D, Davison, SN, Ducharlet, K, Murtagh, F, Chang, YK, and Philip, J

Abstract

CONTEXT: People with advanced chronic kidney disease (CKD) have significant morbidity, yet for many, access to palliative care occurs late, if at all. OBJECTIVES: This study sought to examine criteria for referral to specialist palliative care for adults with advanced CKD with a view to improving use of these essential services. METHODS: Systematic review of studies detailing referral criteria to palliative care in advanced CKD conducted and reported according to the Preferred Reporting Items for Systematic Reviews and Meta Analyses (PRISMA) guideline and registered (PROSPERO: CRD42021230751). DATA SOURCES: Electronic databases (Ovid, MEDLINE, Ovid Embase, and PubMed) were used to identify potential studies, which were subjected to double review, data extraction, thematic coding, and descriptive analyses. RESULTS: Searches yielded 650 unique titles ultimately resulting in 56 studies addressing referral criteria to specialist palliative care in advanced CKD. Of 10 categories of referral criteria, most commonly discussed were: Critical times of treatment decision making (n = 23, 41%); physical or emotional symptoms (n = 22, 39%); limited prognosis (n = 18, 32%); patient age and comorbidities (n = 18, 32%); category of CKD/ biochemical criteria (n = 13, 23%); functional decline (n = 13, 23); psychosocial needs (n = 9, 16%); future care planning (n = 9, 16%); anticipated decline in illness course (n = 8, 14%); and hospital use (n = 8, 14%). CONCLUSION: Clinicians consider referral to specialist palliative care for a wide range of reasons, with many related to care needs. As palliative care continues to integrate with nephrology, our findings represent a key step towards developing consensus criteria to standardize referral for patients with chronic kidney diseases.

Published
2023

26. Towards optimal use of antithrombotic therapy of people with cancer at the end of life:A research protocol for the development and implementation of the SERENITY shared decision support tool

Author

Goedegebuur, J., Abbel, D., Accassat, S., Achterberg, W. P., Akbari, A., Arfuch, V. M., Baddeley, E., Bax, J. J., Becker, D., Bergmeijer, B., Bertoletti, L., Blom, J. W., Calvetti, A., Cannegieter, S. C., Castro, L., Chavannes, N. H., Coma-Auli, N., Couffignal, C., Edwards, A., Edwards, M., Enggaard, H., Font, C., Gava, A., Geersing, G. J., Geijteman, E. C.T., Greenley, S., Gregory, C., Gussekloo, J., Hoffmann, I., Højen, A. A., van den Hout, W. B., Huisman, M. V., Jacobsen, S., Jagosh, J., Johnson, M. J., Jørgensen, L., Juffermans, C. C.M., Kempers, E. K., Konstantinides, S., Kroder, A. F., Kruip, M. J.H.A., Lafaie, L., Langendoen, J. W., Larsen, T. B., Lifford, K., van der Linden, Y. M., Mahé, I., Maiorana, L., Maraveyas, A., Martens, E. S.L., Mayeur, D., van Mens, T. E., Mohr, K., Mooijaart, S. P., Murtagh, F. E.M., Nelson, A., Nielsen, P. B., Ording, A. G., Ørskov, M., Pearson, M., Poenou, G., Portielje, J. E.A., Raczkiewicz, D., Rasmussen, K., Trinks-Roerdink, E., Schippers, I., Seddon, K., Sexton, K., Sivell, S., Skjøth, F., Søgaard, M., Szmit, S., Trompet, S., Vassal, P., Visser, C., van Vliet, L. M., Wilson, E., Klok, F. A., Noble, S. I.R., Goedegebuur, J., Abbel, D., Accassat, S., Achterberg, W. P., Akbari, A., Arfuch, V. M., Baddeley, E., Bax, J. J., Becker, D., Bergmeijer, B., Bertoletti, L., Blom, J. W., Calvetti, A., Cannegieter, S. C., Castro, L., Chavannes, N. H., Coma-Auli, N., Couffignal, C., Edwards, A., Edwards, M., Enggaard, H., Font, C., Gava, A., Geersing, G. J., Geijteman, E. C.T., Greenley, S., Gregory, C., Gussekloo, J., Hoffmann, I., Højen, A. A., van den Hout, W. B., Huisman, M. V., Jacobsen, S., Jagosh, J., Johnson, M. J., Jørgensen, L., Juffermans, C. C.M., Kempers, E. K., Konstantinides, S., Kroder, A. F., Kruip, M. J.H.A., Lafaie, L., Langendoen, J. W., Larsen, T. B., Lifford, K., van der Linden, Y. M., Mahé, I., Maiorana, L., Maraveyas, A., Martens, E. S.L., Mayeur, D., van Mens, T. E., Mohr, K., Mooijaart, S. P., Murtagh, F. E.M., Nelson, A., Nielsen, P. B., Ording, A. G., Ørskov, M., Pearson, M., Poenou, G., Portielje, J. E.A., Raczkiewicz, D., Rasmussen, K., Trinks-Roerdink, E., Schippers, I., Seddon, K., Sexton, K., Sivell, S., Skjøth, F., Søgaard, M., Szmit, S., Trompet, S., Vassal, P., Visser, C., van Vliet, L. M., Wilson, E., Klok, F. A., and Noble, S. I.R.

Abstract

Background: Even though antithrombotic therapy has probably little or even negative effects on the well-being of people with cancer during their last year of life, deprescribing antithrombotic therapy at the end of life is rare in practice. It is often continued until death, possibly resulting in excess bleeding, an increased disease burden and higher healthcare costs. Methods: The SERENITY consortium comprises researchers and clinicians from eight European countries with specialties in different clinical fields, epidemiology and psychology. SERENITY will use a comprehensive approach combining a realist review, flash mob research, epidemiological studies, and qualitative interviews. The results of these studies will be used in a Delphi process to reach a consensus on the optimal design of the shared decision support tool. Next, the shared decision support tool will be tested in a randomised controlled trial. A targeted implementation and dissemination plan will be developed to enable the use of the SERENITY tool across Europe, as well as its incorporation in clinical guidelines and policies. The entire project is funded by Horizon Europe. Results: SERENITY will develop an information-driven shared decision support tool that will facilitate treatment decisions regarding the appropriate use of antithrombotic therapy in people with cancer at the end of life. Conclusions: We aim to develop an intervention that guides the appropriate use of antithrombotic therapy, prevents bleeding complications, and saves healthcare costs. Hopefully, usage of the tool leads to enhanced empowerment and improved quality of life and treatment satisfaction of people with advanced cancer and their care givers.

Published
2023

34. Contributors

Author

Abbed, Khalid M., primary, Abdullah, Kalil G., additional, Ackerman, Paul D., additional, Alapan, Yunus, additional, Alentado, Vincent J., additional, Alvin, Matthew D., additional, Ames, Christopher P., additional, Anand, Neel, additional, Anderson, Paul A., additional, Angelov, Lilyana, additional, Anissipour, Alireza K., additional, Anson, John A., additional, Apfelbaum, Ronald I., additional, Archdeacon, Michael, additional, Arnold, Paul M., additional, Arun, Mike W.J., additional, Arzi, Harel, additional, Awad, Ahmed J., additional, Awad, Basem I., additional, Bahuleyan, Biji, additional, Bain, Mark D., additional, Baird, Lissa C., additional, Baisden, Jamie, additional, Baldwin, Nevan G., additional, Ball, Perry A., additional, Balsara, Karl E., additional, Baron, Eli M., additional, Batjer, H. Hunt, additional, Bauer, Andrew M., additional, Bauer, Thomas W., additional, Beckman, Joshua M., additional, Bell, Gordon R., additional, Bellabarba, Carlo, additional, Bennett, E. Emily, additional, Benzel, Edward C., additional, Bergey, Darren L., additional, Bhalla, Tarun, additional, Bierbrauer, Karin S., additional, Bilsky, Mark, additional, Birk, Harjus, additional, Bisson, Erica F., additional, Bono, Christopher, additional, Bransford, Richard J., additional, Brodke, Darrel S., additional, Brooks, Nathaniel, additional, Brotea, Cristian, additional, Brougham, Jared R., additional, Browd, Samuel R., additional, Buckley, Robert T., additional, Burch, Shane, additional, Butler, John, additional, Bydon, Mohamad, additional, Casha, Steven, additional, Ceuppens, Jeroen, additional, Chan, Andrew K., additional, Chen, Thomas C., additional, Cheng, Joseph, additional, Chou, Dean, additional, Choudhri, Tanvir, additional, Clark, Aaron J., additional, Conley, Adam M., additional, Cooper, Paul R., additional, Coric, Domagoj, additional, Corriveau, Mark, additional, Côté, Ian P., additional, Coumans, Jean-Valery C.E., additional, Crawford, Charles H., additional, Curry, William T., additional, Daffner, Scott D., additional, Dalbayrak, Sedat, additional, DeMicco, Russell C., additional, Deutsch, Harel, additional, Dhall, Sanjay S., additional, DiAngelo, Denis J., additional, Dickman, Curtis A., additional, Dodwad, Shah-Nawaz M., additional, Duarte, Siena M., additional, Ebrahim, Zeyd, additional, Eckardt, Gerald W., additional, Ehni, Bruce L., additional, Eichholz, Kurt M., additional, Eichler, Marc, additional, Elbabaa, Samer K., additional, Elder, Benjamin D., additional, Elder, James B., additional, Ellenbogen, Richard G., additional, Epstein, Nancy, additional, Errico, Thomas J., additional, Esquenazi, Yoshua, additional, Fahim, Daniel K., additional, Farag, Ehab, additional, Farley, Chad W., additional, Fehlings, Michael G., additional, Feigenbaum, Frank, additional, Fenton, Eoin, additional, Ferrara, Lisa A., additional, Fessler, R. David, additional, Fessler, Richard G., additional, Finn, Michael A., additional, Finnan, Ryan, additional, Fischgrund, Jeffrey S., additional, Foley, Kevin T., additional, Fontes, Ricardo B.V., additional, Francis, Todd B., additional, Freedman, Brett A., additional, Frost, Frederick, additional, George, John, additional, German, John W., additional, Gerszten, Peter C., additional, Ghobrial, George M., additional, Ghogawala, Zoher, additional, Gibson, Justin L., additional, Gillis, Christopher C., additional, Goel, Vijay K., additional, Goffin, Jan, additional, Gokaslan, Ziya L., additional, Gollogly, Sohrab, additional, Goodwin, C. Rory, additional, Goulart, Carlos R., additional, Goz, Vadim, additional, Gozal, Yair M., additional, Graham, Randall B., additional, Grant, Gerald A., additional, Guan, Jian, additional, Gulec, Ilker, additional, Gussous, Yazeed M., additional, Guyer, Richard D., additional, Gwinn, David, additional, Ha, Sung, additional, Hadar, Eldad, additional, Haldeman, Clayton L., additional, Halim, Alexander Y., additional, Hamilton, Kimberly M., additional, Hammer, Christine L., additional, Hanbali, Fadi, additional, Hann, Shannon W., additional, Harms, Jurgen, additional, Harrop, James S., additional, Hart, Blaine L., additional, Hart, David J., additional, Harwell, Daniel, additional, Hayek, Reyaad A., additional, Heary, Robert F., additional, Henderson, Fraser C., additional, Hitchon, Patrick W., additional, Hoh, Daniel J., additional, Holman, Paul J., additional, Hosono, Noboru, additional, Houseman, Clifford, additional, Houten, John K., additional, Hsieh, Joseph C., additional, Hsu, Wellington K., additional, Huang, Meng, additional, Hurlbert, R. John, additional, Hwang, Lee, additional, Hwang, Steven, additional, İnceoğlu, Serkan, additional, Infinger, Libby Kosnik, additional, de Oliveira, Tatiana von Hertwig Fernandes, additional, Jalan, Devesh, additional, Jha, Neilank, additional, Johnson, J. Patrick, additional, Jones, Charles I., additional, Jones, G. Alexander, additional, Jones, Michael, additional, Juthani, Rupa G., additional, Kager, Christopher D., additional, Kalani, Maziyar A., additional, Kalani, M. Yashar S., additional, Kalfas, Iain H., additional, Kalra, Ricky R., additional, Karimi, Reza J., additional, Kashlan, Osama, additional, Kasliwal, Manish K., additional, Kaul, Vikas, additional, Kaushal, Mayank, additional, Kenning, Tyler J., additional, Khairi, Saad, additional, Khalaf, Tagreed, additional, Khalil, Jad G., additional, Khoo, Larry T., additional, Kiapour, Ali, additional, Kim, Daniel H., additional, Kim, David H., additional, Kimmell, Kristopher T., additional, Kirshblum, Steven, additional, Kitab, Sameer A., additional, Klimo, Paul, additional, Klineberg, Eric O., additional, Koski, Tyler R., additional, Kosztowski, Thomas A., additional, Kowalski, Robert J., additional, Krishnaney, Ajit A., additional, Krupa, Kelly, additional, Krupa, Kristin, additional, Kshettry, Varun R., additional, Kukreja, Sunil, additional, Kuntz, Charles, additional, Kurpad, Shekar N., additional, Kusuma, Srinivasu, additional, LaBagnara, Michael, additional, La Marca, Frank, additional, Laufer, Ilya, additional, Lavelle, Elizabeth Demers, additional, Lavelle, William F., additional, Lawrence, W. Thomas, additional, Lebl, Darren R., additional, Lee, Bryan S., additional, Lee, Sun-Ho, additional, Lenke, Lawrence G., additional, Leon, Steven P., additional, Li, Amy, additional, Li, Yiping, additional, Lieberman, Isador H., additional, Liu, James K.C., additional, Lo, Victor P., additional, Lollis, S. Scott, additional, Lopez-Gonzalez, Miguel, additional, Lubelski, Daniel, additional, Luciano, Mark G., additional, Machado, Andre G., additional, Maddela, Raghu, additional, Madineni, Ravichandra A., additional, Madura, Casey, additional, Maiman, Dennis J., additional, Malone, David G., additional, Mammis, Antonios, additional, Marawar, Satyajit, additional, Marcotte, Nicolas, additional, Maroon, Joseph C., additional, Martin, Michael D., additional, Martinez-del-Campo, Eduardo, additional, Massicotte, Eric M., additional, Mattei, Tobias A., additional, Maurer, Paul K., additional, Mayer, Eric A.K., additional, del Valle, Miguel Mayol, additional, Mazanec, Daniel J., additional, McCormick, Paul C., additional, McCormick, William, additional, Medress, Zachary A., additional, Mendel, Ehud, additional, Metkar, Umesh S., additional, Miele, Vincent J., additional, Mohyeldin, Ahmed, additional, Monsef, Jad Bou, additional, Moore, Timothy A., additional, Morisue, Hikaru, additional, Morone, Peter, additional, Mroz, Thomas E., additional, Mullin, Jeffrey P., additional, Murtagh, F. Reed, additional, Murtagh, Ryan D., additional, Naderi, Sait, additional, Nagaraj, Usha D., additional, Nalley, Charles C., additional, Nanda, Anil, additional, Nasca, Richard J., additional, Nater, Anick, additional, Neal, Matthew T., additional, Nockels, Russ P., additional, Norwig, John A., additional, Ondoma, Solomon M., additional, Oni-Orisan, Akinwunmi, additional, Oren, Jonathan H., additional, Orning, Jennifer, additional, Orr, R. Douglas, additional, Orrico, Katie, additional, Osorio, Joseph A., additional, Otero-Lopez, Ernesto, additional, O'Toole, John, additional, Park, Paul, additional, Parmar, Vikas, additional, Pashman, Robert S., additional, Patel, Rakesh D., additional, Patel, Smruti K., additional, Perez-Cruet, Mick J., additional, Perin, Noel I., additional, Pettigrew, David B., additional, Phillips, H. Westley, additional, Placide, Rick, additional, Porensky, Paul, additional, Prager, Joshua P., additional, Prasad, Srinivas, additional, Prasarn, Mark L., additional, Ramakrishnan, Rakesh, additional, Ramayya, Ashwin G., additional, Rampersaud, Y. Raja, additional, Rasmussen, Peter A., additional, Ratliff, John K., additional, Rauschning, Wolfgang, additional, Rechtine, Glenn R., additional, Recinos, Pablo F., additional, Resnick, Daniel K., additional, Rhee, Jay, additional, Rhines, Laurence D., additional, Riccio, Alexander R., additional, Richardson, Marlin Dustin, additional, Richter, Bertram, additional, Riesenburger, Ron, additional, Riew, K. Daniel, additional, Rogers, Matthew, additional, Saavedra, Fanor M., additional, Safain, Mina G., additional, Saigal, Rajiv, additional, Sawin, Paul D., additional, Scheer, Justin K., additional, Scheidler, Joshua, additional, Schippert, David W., additional, Schlenk, Richard, additional, Schmidt, Bradley, additional, Schmidt, Meic H., additional, Sciubba, Daniel M., additional, Shaffrey, Christopher I., additional, Shaffrey, Mark E., additional, Shah, Anoli, additional, Sharan, Alok, additional, Sharan, Ashwini D., additional, Shedid, Daniel, additional, Shook, Steven, additional, Silverstein, Michael P., additional, Simpson, Venita M., additional, Sin, Anthony, additional, Singh, Harminder, additional, Smith, Donald A., additional, Smith, Gabriel A., additional, Smith, Justin S., additional, Smith, Kyle A., additional, Sonntag, Volker K.H., additional, Soriano-Baron, Hector, additional, Spetzler, Robert F., additional, Spiker, W. Ryan, additional, Staub, Blake, additional, Steinmetz, Michael P., additional, Stillerman, Charles B., additional, Strayer, Andrea, additional, Subramaniam, Gandhivarma, additional, Sukkarieh, Hamdi G., additional, Sumich, Andrew, additional, Sun, Derrick Y., additional, Sunna, Tarek P., additional, Sure, Durga R., additional, Tallarico, Richard A., additional, Tan, Lee A., additional, Tatsui, Claudio E., additional, Techy, Fernando, additional, Theodore, Nicholas, additional, Theologis, Alexander A., additional, Thomas, Nicholas W.M., additional, Thorp, Brian D., additional, Tintle, Scott, additional, Tjoumakaris, Stavropoula, additional, Tobler, William D., additional, Togawa, Daisuke, additional, Traul, David, additional, Traynelis, Vincent C., additional, Tritle, A. Sophia, additional, Trost, Gregory R., additional, Tsai, Eve C., additional, Ugokwe, Kene, additional, Uluc, Kutlauy, additional, Uribe, Juan S., additional, Vaccaro, Alexander R., additional, Valadka, Alex, additional, Vedantam, Aditya, additional, Veeravagu, Anand, additional, Verma, Kushagra, additional, Vitaz, Todd, additional, Voyadzis, Jean-Marc, additional, Wagner, Scott, additional, Wahlquist, Trevor C., additional, Waldrop, Robert, additional, Walsh, Kevin M., additional, Wang, Jeffrey C., additional, Wang, Michael Y., additional, Wang, Patrick T., additional, Ward, John D., additional, Wardak, Zabi, additional, Wathen, Connor, additional, Weinstein, Philip R., additional, Weisman, Michael, additional, Welch, William C., additional, Weller, Simcha J., additional, Westerlund, L. Erik, additional, White, Jonathan A., additional, Whitmore, Robert G., additional, Wilberger, Jack E., additional, Williams, Kim A., additional, Winkler, Ethan A., additional, Witiw, Christopher D., additional, Wolfla, Christopher E., additional, Wolinsky, Jean-Paul, additional, Wong, Cyrus, additional, Woodard, Eric J., additional, Yanamadala, Vijay, additional, Yanni, Daniel S., additional, Yazbak, Philip A., additional, Yen, Chun-Po, additional, Yilmaz, Mesut, additional, Yoganandan, Narayan, additional, Yonemura, Kenneth S., additional, Yonenobu, Kazuo, additional, Yuan, Hansen A., additional, Yue, John K., additional, Zanation, Adam M., additional, Zavarella, Salvatore M., additional, Zeidman, Seth M., additional, Zileli, Mehmet, additional, Zuckerman, Scott, additional, and Zywicke, Holly, additional

Published
2017
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45. Multivariate analysis and pattern recognition methods: A short review and some current directions

Author

Murtagh, F., Araki, H., editor, Ehlers, J., editor, Hepp, K., editor, Jaffe, R. L., editor, Kippenhahn, R., editor, Ruelle, D., editor, Weidenmüller, H. A., editor, Wess, J., editor, Zittartz, J., editor, Beiglböck, W., editor, Barrow, John D., editor, Henriques, Alfredo B., editor, Lago, Maria Teresa V. T., editor, and Longair, Malcom S., editor

Published
1991
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