Pattern recognition with a Bayesian kernel combination machine
暂无分享,去创建一个
[1] Nello Cristianini,et al. Kernel Methods for Pattern Analysis , 2003, ICTAI.
[2] William Stafford Noble,et al. Nonstationary kernel combination , 2006, ICML.
[3] Richard Bellman,et al. Adaptive Control Processes: A Guided Tour , 1961, The Mathematical Gazette.
[4] C. Holmes,et al. Bayesian auxiliary variable models for binary and multinomial regression , 2006 .
[5] W. K. Hastings,et al. Monte Carlo Sampling Methods Using Markov Chains and Their Applications , 1970 .
[6] Jiri Matas,et al. On Combining Classifiers , 1998, IEEE Trans. Pattern Anal. Mach. Intell..
[7] S. Chib,et al. Bayesian analysis of binary and polychotomous response data , 1993 .
[8] Josef Kittler,et al. Combining multiple classifiers by averaging or by multiplying? , 2000, Pattern Recognit..
[9] Alexander J. Smola,et al. Learning with kernels , 1998 .
[10] Nasser M. Nasrabadi,et al. Pattern Recognition and Machine Learning , 2006, Technometrics.
[11] E. Jaynes. Probability theory : the logic of science , 2003 .
[12] David H. Wolpert,et al. Stacked generalization , 1992, Neural Networks.
[13] Radford M. Neal. Regression and Classification Using Gaussian Process Priors , 2009 .
[14] Alexander J. Smola,et al. Learning the Kernel with Hyperkernels , 2005, J. Mach. Learn. Res..
[15] William Stafford Noble,et al. Support vector machine learning from heterogeneous data: an empirical analysis using protein sequence and structure , 2006, Bioinform..
[16] Mingjun Zhong,et al. Data Integration for Classification Problems Employing Gaussian Process Priors , 2006, NIPS.
[17] Wan-Jui Lee,et al. Kernel Combination Versus Classifier Combination , 2007, MCS.
[18] Simon Rogers,et al. Hierarchic Bayesian models for kernel learning , 2005, ICML.
[19] Nageswara S. V. Rao,et al. On Fusers that Perform Better than Best Sensor , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[20] Michael E. Tipping. Sparse Bayesian Learning and the Relevance Vector Machine , 2001, J. Mach. Learn. Res..
[21] Nello Cristianini,et al. Learning the Kernel Matrix with Semidefinite Programming , 2002, J. Mach. Learn. Res..
[22] Theodoros Damoulas,et al. Probabilistic multi-class multi-kernel learning: on protein fold recognition and remote homology detection , 2008, Bioinform..
[23] Catherine Blake,et al. UCI Repository of machine learning databases , 1998 .
[24] Thomas G. Dietterich. Multiple Classifier Systems , 2000, Lecture Notes in Computer Science.
[25] David B. Dunson,et al. Bayesian Data Analysis , 2010 .
[26] Geoffrey E. Hinton,et al. Bayesian Learning for Neural Networks , 1995 .
[27] Jason Weston,et al. Gene functional classification from heterogeneous data , 2001, RECOMB.