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← Topics

Machine Learning

121,146 papers (10 classified directly here)

Subtopics

Learning Types (52,936) Core Methods (48,729) Optimization & Theory (36,874) Application Areas (31,658) Bayesian & Probabilistic (3,963) Learning Paradigms (2,054)

Papers per year

5
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Papers (including subtopics)

Learning to classify complex patterns using a VLSI network of spiking neurons NIPS 2007
Efficient Convex Relaxation for Transductive Support Vector Machine NIPS 2007
Message Passing for Max-weight Independent Set NIPS 2007
Boosting the Area under the ROC Curve NIPS 2007
Sparse Feature Learning for Deep Belief Networks NIPS 2007
A Risk Minimization Principle for a Class of Parzen Estimators NIPS 2007
Managing Power Consumption and Performance of Computing Systems Using Reinforcement Learning NIPS 2007
A Game-Theoretic Approach to Apprenticeship Learning NIPS 2007
Scene Segmentation with CRFs Learned from Partially Labeled Images NIPS 2007
Measuring Neural Synchrony by Message Passing NIPS 2007
Discriminative Batch Mode Active Learning NIPS 2007
Comparing Bayesian models for multisensory cue combination without mandatory integration NIPS 2007
What makes some POMDP problems easy to approximate? NIPS 2007
Boosting Algorithms for Maximizing the Soft Margin NIPS 2007
Gaussian Process Models for Link Analysis and Transfer Learning NIPS 2007
Near-Maximum Entropy Models for Binary Neural Representations of Natural Images NIPS 2007
Privacy-Preserving Belief Propagation and Sampling NIPS 2007
Bayesian Co-Training NIPS 2007
Supervised Topic Models NIPS 2007
A Kernel Statistical Test of Independence NIPS 2007
Discriminative Keyword Selection Using Support Vector Machines NIPS 2007
Probabilistic Matrix Factorization NIPS 2007
Density Estimation under Independent Similarly Distributed Sampling Assumptions NIPS 2007
Efficient Inference for Distributions on Permutations NIPS 2007
Fitted Q-iteration in continuous action-space MDPs NIPS 2007