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Representation Learning

18863 directly classified papers

Papers per year

Papers

Discriminative Keyword Selection Using Support Vector Machines NIPS 2007
Learning omnidirectional path following using dimensionality reduction RSS 2007
Dimensionality Reduction Using Automatic Supervision for Vision-Based Terrain Learning RSS 2007
Semantic Modeling of Places using Objects RSS 2007
Bilinear Discriminant Component Analysis JMLR 2007
Consistent Feature Selection for Pattern Recognition in Polynomial Time JMLR 2007
Refinable Kernels JMLR 2007
Proto-value Functions: A Laplacian Framework for Learning Representation and Control in Markov Decision Processes JMLR 2007
Undercomplete Blind Subspace Deconvolution JMLR 2007
Statistical Consistency of Kernel Canonical Correlation Analysis JMLR 2007
Learning Equivariant Functions with Matrix Valued Kernels JMLR 2007
Fast Iterative Kernel Principal Component Analysis JMLR 2007
MinReg: A Scalable Algorithm for Learning Parsimonious Regulatory Networks in Yeast and Mammals JMLR 2006
Linear State-Space Models for Blind Source Separation JMLR 2006
In Search of Non-Gaussian Components of a High-Dimensional Distribution JMLR 2006
Learning Parts-Based Representations of Data JMLR 2006
Quantile Regression Forests JMLR 2006
Lower Bounds and Aggregation in Density Estimation JMLR 2006
Learning Coordinate Covariances via Gradients JMLR 2006
Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting JMLR 2006
Accurate Error Bounds for the Eigenvalues of the Kernel Matrix JMLR 2006
A Scoring Function for Learning Bayesian Networks based on Mutual Information and Conditional Independence Tests JMLR 2006
Streamwise Feature Selection JMLR 2006
Large Scale Multiple Kernel Learning JMLR 2006
Learning Sparse Representations by Non-Negative Matrix Factorization and Sequential Cone Programming JMLR 2006