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Your search keyword '"Blocking factor"' showing total 8 results
Start Over Descriptor "Blocking factor" Publisher springer berlin heidelberg
8 results on '"Blocking factor"'

1. Mixed Models for the Analysis of Local Search Components

Author

Bang-Jensen, Jørgen, Chiarandini, Marco, Goegebeur, Yuri, Jørgensen, Bent, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Stützle, Thomas, editor, Birattari, Mauro, editor, and H. Hoos, Holger, editor

Published
2007
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3. Automatic Tuning of PDGEMM Towards Optimal Performance

Author

Hunold, Sascha, Rauber, Thomas, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Cunha, José C., editor, and Medeiros, Pedro D., editor

Published
2005
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4. Kinetics of Specific Cell-Mediated Immune Response in Cancer-Bearing Hosts

Author

Barski, G., Youn, J. K., Le François, D., Allfrey, V. G., editor, Allgöwer, M., editor, Bauer, K. H., editor, Berenblum, I., editor, Bergel, F., editor, Bernard, J., editor, Bernhard, W., editor, Blokhin, N. N., editor, Bock, H. E., editor, Bucalossi, P., editor, Chaklin, A. V., editor, Chorazy, M., editor, Cunningham, G. J., editor, Dargent, M., editor, Della Porta, G., editor, Denoix, P., editor, Dulbecco, R., editor, Eagle, H., editor, Eker, E., editor, Good, R. A., editor, Grabar, P., editor, Hamperl, H., editor, Harris, R. J. C., editor, Hecker, E., editor, Herbeuval, R., editor, Higginson, J., editor, Hueper, W. C., editor, Isliker, H., editor, Kieler, J., editor, Klein, G., editor, Koprowski, H., editor, Koss, L. G., editor, Martz, G., editor, Mathé, G., editor, Mühlbock, O., editor, Nakahara, W., editor, Old, L. J., editor, Potter, V. R., editor, Sabin, A. B., editor, Sachs, L., editor, Saxén, E. A., editor, Schmidt, C. G., editor, Spiegelman, S., editor, Szybalski, W., editor, Tagnon, H., editor, Taylor, R. M., editor, Tissières, A., editor, Uehlinger, E., editor, Wissler, R. W., editor, Rentchnick, P., editor, Mathé, Georges, editor, and Weiner, Roy, editor

Published
1974
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6. Organisational and cultural similarities and differences in implementing quality in e-learning in Europe’s higher education

Author

Albert Sangrà and Bernard Dumont

Subjects
Knowledge management, Quality management system, Higher education, business.industry, Political science, media_common.quotation_subject, E-learning (theory), ComputingMilieux_COMPUTERSANDEDUCATION, Blocking factor, Quality (business), business, Quality assurance, media_common
Abstract

Most challenges are related with management in Higher Education institutions and the difficulty of considering students as “clients” more than “users” and definitely different of “products”.

Published
2006

7. KDSM Methodology for Knowledge Discovery from Ill-Structured Domains Presenting Very Short and Repeated Serial Measures with Blocking Factor

Author

Karina Gibert, J. Emilio Rojo, and Jorge Rodas

Subjects
Multivariate statistics, Multivariate analysis, business.industry, Computer science, Blocking factor, Machine learning, computer.software_genre, Knowledge extraction, Knowledge base, Application domain, Artificial intelligence, Cluster analysis, business, computer
Abstract

This paper is an introduction of Knowledge Discovery in Serial Measurement (KDSM) methodology for analyzing repeated and very short serial measures with a blocking factor in ill-structured domains (ISD). KDSM arises from the results obtained in a real application of psychiatry (presented in the previous issue of CCIA [11]). In this application domain, common statistical analysis (time series analysis, multivariate data analysis...) and artificial intelligence techniques (knowledge based methods, inductive learning), employed independently, are often inadequate due to the intrinsic characteristics of ISD. KDSM is based on both the combination of statistical methods and artificial intelligence techniques, including the use of clustering based on rules (introduced by Gibert in 1994).

Published
2002

8. Plasmapheresis for Therapy in Patients with Metastasizing Solid Tumors

Author

K. Moser, M. Colot, E. M. Kokoschka, M. Micksche, and H. Rainer

Subjects
business.industry, medicine.medical_treatment, Acute-phase protein, Blocking factor, Complement factor I, Cytotoxic chemotherapy, stomatognathic diseases, Immunity, Tumor progression, Immunology, Medicine, In patient, Plasmapheresis, business
Abstract

The importance of immunological defence mechanisms in malignant diseases is generally accepted today. The observation that tumor progression leads to a decline of both general and tumor-specific immunity has been well documented in man as well as in animal models [7].

Published
1981

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