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128 results on '"Tian, Shengfeng"'

5. Kernel Polarization Based on Cooperative Clustering

Author

Cao, Weiwei, Yin, Chuanhuan, Mu, Shaomin, Tian, Shengfeng, 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, Lee, Minho, editor, Hirose, Akira, editor, Hou, Zeng-Guang, editor, and Kil, Rhee Man, editor

Published
2013
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7. A Selective Classifier for Incomplete Data

Author

Chen, Jingnian, Huang, Houkuan, Tian, Fengzhan, Tian, Shengfeng, Carbonell, Jaime G., editor, Siekmann, J\'org, editor, Washio, Takashi, editor, Suzuki, Einoshin, editor, Ting, Kai Ming, editor, and Inokuchi, Akihiro, editor

Published
2008
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8. High-Order Markov Kernels for Network Intrusion Detection

Author

Tian, Shengfeng, Yin, Chuanhuan, Mu, Shaomin, 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, King, Irwin, editor, Wang, Jun, editor, Chan, Lai-Wan, editor, and Wang, DeLiang, editor

Published
2006
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9. A Fast Bit-Parallel Algorithm for Gapped String Kernels

Author

Yin, Chuanhuan, Tian, Shengfeng, Mu, Shaomin, 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, King, Irwin, editor, Wang, Jun, editor, Chan, Lai-Wan, editor, and Wang, DeLiang, editor

Published
2006
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10. OMVD: An Optimization of MVD

Author

He, Zhi, Tian, Shengfeng, Huang, Houkuan, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Kobsa, Alfred, Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, Series editor, Tanaka, Yuzuru, Series editor, Wahlster, Wolfgang, Series editor, Siekmann, Jörg, Series editor, Li, Xue, editor, Zaïane, Osmar R., editor, and Li, Zhanhuai, editor

Published
2006
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11. A Modified RBF Neural Network for Network Anomaly Detection

Author

Wei, Xiaotao, Huang, Houkuan, Tian, Shengfeng, 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, Wang, Jun, editor, Yi, Zhang, editor, Zurada, Jacek M., editor, Lu, Bao-Liang, editor, and Yin, Hujun, editor

Published
2006
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12. Cooperative Clustering for Training SVMs

Author

Tian, Shengfeng, Mu, Shaomin, Yin, Chuanhuan, 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, Wang, Jun, editor, Yi, Zhang, editor, Zurada, Jacek M., editor, Lu, Bao-Liang, editor, and Yin, Hujun, editor

Published
2006
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13. Using Gap-Insensitive String Kernel to Detect Masquerading

Author

Yin, Chuanhuan, Tian, Shengfeng, Mu, Shaomin, 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, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, Li, Xue, editor, Wang, Shuliang, editor, and Dong, Zhao Yang, editor

Published
2005
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14. Applying Genetic Programming to Evolve Learned Rules for Network Anomaly Detection

Author

Yin, Chuanhuan, Tian, Shengfeng, Huang, Houkuan, He, Jun, 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, Wang, Lipo, editor, Chen, Ke, editor, and Ong, Yew Soon, editor

Published
2005
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15. Intrusion Detection Alert Verification Based on Multi-level Fuzzy Comprehensive Evaluation

Author

Mu, Chengpo, Huang, Houkuan, Tian, Shengfeng, 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, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, Hao, Yue, editor, Liu, Jiming, editor, Wang, Yuping, editor, Cheung, Yiu-ming, editor, Yin, Hujun, editor, Jiao, Licheng, editor, Ma, Jianfeng, editor, and Jiao, Yong-Chang, editor

Published
2005
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16. An Improved Bayesian Network Learning Algorithm Based on Dependency Analysis

Author

Tian, Fengzhan, Tian, Shengfeng, Yu, Jian, Huang, Houkuan, 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, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, Hao, Yue, editor, Liu, Jiming, editor, Wang, Yuping, editor, Cheung, Yiu-ming, editor, Yin, Hujun, editor, Jiao, Licheng, editor, Ma, Jianfeng, editor, and Jiao, Yong-Chang, editor

Published
2005
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17. Anomaly Detection Using Support Vector Machines

Author

Tian, Shengfeng, Yu, Jian, Yin, Chuanhuan, 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, Yin, Fu-Liang, editor, Wang, Jun, editor, and Guo, Chengan, editor

Published
2004
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18. Cluster Validity and Stability of Clustering Algorithms

Author

Yu, Jian, Huang, Houkuan, Tian, Shengfeng, 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, Fred, Ana, editor, Caelli, Terry M., editor, Duin, Robert P. W., editor, Campilho, Aurélio C., editor, and de Ridder, Dick, editor

Published
2004
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44. Research Of Two Class Confidence Classification Based On One Class Classifier

Author

Tian Shengfeng and Jiang Fangchun

Subjects
General Computer Science, Computer science, business.industry, Computation, Artificial intelligence, Quadratic classifier, Machine learning, computer.software_genre, business, computer, Classifier (UML), Ensemble learning
Abstract

To have simple and efficient confidence machine learning is an important focus in confidence machine researches. Using one class classifier as a tool, the paper applies it twice for two-class classification problems. Setting reject options and a multi-layer ensemble learning method are used in this study. In this method there is no necessity to set up a specific threshold and the confidence computation is omitted. Realizing five experiments, the study proves it as efficient.

Published
2014

46. The model of thunderstorms forecast based on rough set

Author

Qiu Taorong, Tian Shengfeng, Li Xiangjun, and Lin Yuyuan

Subjects
Computer science, Quantitative precipitation forecast, Weather forecasting, Thunderstorm, Range (statistics), Forecast skill, Decision rule, Rough set, Data mining, computer.software_genre, Forecast verification, computer
Abstract

Thunderstorm is one of the worst natural disasters around the world. Currently, it still lacks of the model that can forecast the high-resolution and short-term approaching thunderstorms. Rough set method can analyze different incomplete information effectively, and then do the effective reasoning. Rough set based two techniques of attribute reduction and rule extraction were used to choose reasonable combination of forecasting factors and extract the effective decision rules, and a forecast solution model was established for the high-resolution(forecast range: 5km×5km) and the short-term (next 3 hours) thunderstorm forecast. Finally, the proposed model was tested on the given real dataset, and compared with the traditional numerical forecast solution model. The results show that it is a better in the accuracy of thunderstorm forecasting.

Published
2011

50. A rock classification expert system

Author

Zhang Qing, Mo Yuanbin, and Tian Shengfeng

Subjects
Structure (mathematical logic), Scheme (programming language), business.industry, Computer science, Control (management), Fuzzy set, Rock classification, Legal expert system, computer.software_genre, Machine learning, Expert system, Data mining, Artificial intelligence, Rock mass classification, business, computer, computer.programming_language
Abstract

A system to classify rock mass is described. The knowledge of experts is divided into two parts: the knowledge about the classification according to main parameters, and the knowledge about the evaluation of those parameters. The principle of classification is based on the fuzzy set theory. A scheme that calculates two agendas, or structure sets, plays an important role in the control strategy. This scheme provides a way to parallel a problem-solving method of human experts and raises efficiency. >

Published
2003

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