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Representation Learning

18863 directly classified papers

Papers per year

Papers

Graphical Methods for Efficient Likelihood Inference in Gaussian Covariance Models JMLR 2008
Consistent Feature Selection for Pattern Recognition in Polynomial Time JMLR 2007
Bilinear Discriminant Component Analysis JMLR 2007
Statistical Consistency of Kernel Canonical Correlation Analysis JMLR 2007
Refinable Kernels JMLR 2007
Undercomplete Blind Subspace Deconvolution JMLR 2007
Proto-value Functions: A Laplacian Framework for Learning Representation and Control in Markov Decision Processes JMLR 2007
Sparse Feature Learning for Deep Belief Networks NIPS 2007
A Spectral Regularization Framework for Multi-Task Structure Learning NIPS 2007
Modeling image patches with a directed hierarchy of Markov random fields NIPS 2007
Locality and low-dimensions in the prediction of natural experience from fMRI NIPS 2007
Learning with Tree-Averaged Densities and Distributions NIPS 2007
Collective Inference on Markov Models for Modeling Bird Migration NIPS 2007
A configurable analog VLSI neural network with spiking neurons and self-regulating plastic synapses NIPS 2007
SpAM: Sparse Additive Models NIPS 2007
Kernel Measures of Conditional Dependence NIPS 2007
Classification via Minimum Incremental Coding Length (MICL) NIPS 2007
Receptive Fields without Spike-Triggering NIPS 2007
Estimating High-Dimensional Directed Acyclic Graphs with the PC-Algorithm JMLR 2007
"Ideal Parent” Structure Learning for Continuous Variable Bayesian Networks JMLR 2007
Efficient Inference for Distributions on Permutations NIPS 2007
Supervised Topic Models NIPS 2007
Near-Maximum Entropy Models for Binary Neural Representations of Natural Images NIPS 2007
Gaussian Process Models for Link Analysis and Transfer Learning NIPS 2007
Learning to classify complex patterns using a VLSI network of spiking neurons NIPS 2007