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Representation Learning

20,812 papers

Papers per year

2
9
101
309
2011
2283
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Papers

Emergence of conjunctive visual features by quadratic independent component analysis NIPS 2006
Conditional mean field NIPS 2006
Unsupervised Regression with Applications to Nonlinear System Identification NIPS 2006
MLLE: Modified Locally Linear Embedding Using Multiple Weights NIPS 2006
Denoising and Dimension Reduction in Feature Space NIPS 2006
Relational Learning with Gaussian Processes NIPS 2006
MinReg: A Scalable Algorithm for Learning Parsimonious Regulatory Networks in Yeast and Mammals JMLR 2006
In Search of Non-Gaussian Components of a High-Dimensional Distribution JMLR 2006
Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting JMLR 2006
Learning Coordinate Covariances via Gradients JMLR 2006
Learning Image Components for Object Recognition JMLR 2006
Lower Bounds and Aggregation in Density Estimation JMLR 2006
Quantile Regression Forests JMLR 2006
A Graphical Representation of Equivalence Classes of AMP Chain Graphs JMLR 2006
Learning Sparse Representations by Non-Negative Matrix Factorization and Sequential Cone Programming JMLR 2006
Large Scale Multiple Kernel Learning JMLR 2006
Streamwise Feature Selection JMLR 2006
A Scoring Function for Learning Bayesian Networks based on Mutual Information and Conditional Independence Tests JMLR 2006
Accurate Error Bounds for the Eigenvalues of the Kernel Matrix JMLR 2006
Learning Parts-Based Representations of Data JMLR 2006
Linear State-Space Models for Blind Source Separation JMLR 2006
Universal Kernels JMLR 2006
Learning Hidden Variable Networks: The Information Bottleneck Approach JMLR 2005
Diffusion Kernels on Statistical Manifolds JMLR 2005
Information Bottleneck for Gaussian Variables JMLR 2005