JMLR 2002 - PDF Preprint Papers

JMLR 2002

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JMLR
2002

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Kernel Independent Component Analysis

13 years 11 months ago

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We present a class of algorithms for independent component analysis (ICA) which use contrast functions based on canonical correlations in a reproducing kernel Hilbert space. On th...

Francis R. Bach, Michael I. Jordan

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Id	Views	Title	Status

1	160	Kernel Independent Component Analysis	claim
2	157	Cluster Ensembles --- A Knowledge Reuse Framework for Combining Multiple Partitions	claim
3	144	Round Robin Classification	claim
4	140	On Boosting with Polynomially Bounded Distributions	claim
5	138	Learning Probabilistic Models of Link Structure	claim
6	138	Text Chunking based on a Generalization of Winnow	claim
7	137	The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces	claim
8	135	Covering Number Bounds of Certain Regularized Linear Function Classes	claim
9	133	Learning Precise Timing with LSTM Recurrent Networks	claim
10	125	Lyapunov Design for Safe Reinforcement Learning	claim
11	117	Learning to Construct Fast Signal Processing Implementations	claim
12	115	PAC-Bayesian Generalisation Error Bounds for Gaussian Process Classification	claim
13	111	The Learning-Curve Sampling Method Applied to Model-Based Clustering	claim
14	106	Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels	claim
15	102	Efficient Algorithms for Decision Tree Cross-validation	claim
16	102	Optimal Structure Identification With Greedy Search	claim
17	100	Introduction to Special Issue on Machine Learning Approaches to Shallow Parsing	claim
18	100	On the Convergence of Optimistic Policy Iteration	claim
19	90	Machine Learning with Data Dependent Hypothesis Classes	claim
20	89	A Robust Minimax Approach to Classification	claim
21	89	The Set Covering Machine	claim
22	87	Shallow Parsing using Noisy and Non-Stationary Training Material	claim
23	83	On Online Learning of Decision Lists	claim
24	79	Learning Rules and Their Exceptions	claim
25	79	MDPs: Learning in Varying Environments	claim
26	78	Shallow Parsing using Specialized HMMs	claim
27	75	Stability and Generalization	claim
28	74	The Representational Power of Discrete Bayesian Networks	claim
29	73	Variational Learning of Clusters of Undercomplete Nonsymmetric Independent Components	claim
30	69	Using Confidence Bounds for Exploitation-Exploration Trade-offs	claim
31	61	Minimal Kernel Classifiers	claim

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