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Representation Learning

18863 directly classified papers

Papers per year

Papers

Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting JMLR 2006
A Scoring Function for Learning Bayesian Networks based on Mutual Information and Conditional Independence Tests JMLR 2006
In-Network PCA and Anomaly Detection NIPS 2006
Stratification Learning: Detecting Mixed Density and Dimensionality in High Dimensional Point Clouds NIPS 2006
Modeling Human Motion Using Binary Latent Variables NIPS 2006
implicit Online Learning with Kernels NIPS 2006
A Graphical Representation of Equivalence Classes of AMP Chain Graphs JMLR 2006
Learning Image Components for Object Recognition JMLR 2006
Modeling Dyadic Data with Binary Latent Factors NIPS 2006
Convergence of Laplacian Eigenmaps NIPS 2006
Efficient sparse coding algorithms NIPS 2006
Recursive Attribute Factoring NIPS 2006
Sparse Kernel Orthonormalized PLS for feature extraction in large data sets NIPS 2006
Recursive ICA NIPS 2006
Learning Sparse Representations by Non-Negative Matrix Factorization and Sequential Cone Programming JMLR 2006
In Search of Non-Gaussian Components of a High-Dimensional Distribution JMLR 2006
Learning Parts-Based Representations of Data JMLR 2006
Towards a general independent subspace analysis NIPS 2006
Large Scale Multiple Kernel Learning JMLR 2006
Modeling General and Specific Aspects of Documents with a Probabilistic Topic Model NIPS 2006
Information Bottleneck for Non Co-Occurrence Data NIPS 2006
Bayesian Model Scoring in Markov Random Fields NIPS 2006
Learning to parse images of articulated bodies NIPS 2006
Gaussian and Wishart Hyperkernels NIPS 2006
Learning Multiple Tasks with Kernel Methods JMLR 2005