The Learning Problem
暂无分享,去创建一个
[1] Matthieu Cord,et al. Machine Learning Techniques for Multimedia: Case Studies on Organization and Retrieval , 2009, J. Electronic Imaging.
[2] Vladimir Vapnik,et al. An overview of statistical learning theory , 1999, IEEE Trans. Neural Networks.
[3] Nathalie Japkowicz,et al. The class imbalance problem: A systematic study , 2002, Intell. Data Anal..
[4] David G. Stork,et al. Pattern Classification (2nd ed.) , 1999 .
[5] Nello Cristianini,et al. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods , 2000 .
[6] Klaus-Robert Müller,et al. From outliers to prototypes: Ordering data , 2006, Neurocomputing.
[7] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.
[8] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[9] Christopher J. C. Burges,et al. A Tutorial on Support Vector Machines for Pattern Recognition , 1998, Data Mining and Knowledge Discovery.
[10] Vladimir Vapnik,et al. Statistical learning theory , 1998 .
[11] Sungzoon Cho,et al. Application of LVQ to novelty detection using outlier training data , 2006, Pattern Recognit. Lett..
[12] Yoram Singer,et al. Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers , 2000, J. Mach. Learn. Res..
[13] David M. J. Tax,et al. One-class classification , 2001 .
[14] Thomas G. Dietterich,et al. Solving Multiclass Learning Problems via Error-Correcting Output Codes , 1994, J. Artif. Intell. Res..
[15] M. M. Moya,et al. One-class classifier networks for target recognition applications , 1993 .
[16] Hsuan-Tien Lin,et al. A note on Platt’s probabilistic outputs for support vector machines , 2007, Machine Learning.
[17] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.
[18] Malik Yousef,et al. One-Class SVMs for Document Classification , 2002, J. Mach. Learn. Res..
[19] Chih-Jen Lin,et al. A comparison of methods for multiclass support vector machines , 2002, IEEE Trans. Neural Networks.
[20] Vladimir Vapnik,et al. Estimation of Dependences Based on Empirical Data: Springer Series in Statistics (Springer Series in Statistics) , 1982 .
[21] Kristin P. Bennett,et al. Multicategory Classification by Support Vector Machines , 1999, Comput. Optim. Appl..
[22] Adam Kowalczyk,et al. Extreme re-balancing for SVMs: a case study , 2004, SKDD.
[23] Alexander Zien,et al. Semi-Supervised Learning , 2006 .
[24] Chih-Jen Lin,et al. A Comparison of Methods for Multi-class Support Vector Machines , 2015 .
[25] Alexander J. Smola,et al. Advances in Large Margin Classifiers , 2000 .
[26] Robert P. W. Duin,et al. Using two-class classifiers for multiclass classification , 2002, Object recognition supported by user interaction for service robots.
[27] Piotr Juszczak. Learning to recognise : a study on one-class classification and active learning , 2006 .
[28] Christopher M. Bishop,et al. Neural networks for pattern recognition , 1995 .
[29] Nikolaos M. Avouris,et al. EVALUATION OF CLASSIFIERS FOR AN UNEVEN CLASS DISTRIBUTION PROBLEM , 2006, Appl. Artif. Intell..
[30] Francesco Camastra,et al. Machine Learning for Audio, Image and Video Analysis - Theory and Applications , 2007, Advanced Information and Knowledge Processing.
[31] J. Nazuno. Haykin, Simon. Neural networks: A comprehensive foundation, Prentice Hall, Inc. Segunda Edición, 1999 , 2000 .
[32] Nitesh V. Chawla,et al. Editorial: special issue on learning from imbalanced data sets , 2004, SKDD.
[33] Matthieu Cord,et al. Machine Learning Techniques for Multimedia - Case Studies on Organization and Retrieval , 2008, Machine Learning Techniques for Multimedia.
[34] Ulrich H.-G. Kreßel,et al. Pairwise classification and support vector machines , 1999 .
[35] Xiaojin Zhu,et al. --1 CONTENTS , 2006 .
[36] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[37] Bernhard Schölkopf,et al. Estimating the Support of a High-Dimensional Distribution , 2001, Neural Computation.