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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)

Mixed Membership Stochastic Blockmodels NIPS 2008
Shared Segmentation of Natural Scenes Using Dependent Pitman-Yor Processes NIPS 2008
Shape-Based Object Localization for Descriptive Classification NIPS 2008
Covariance Estimation for High Dimensional Data Vectors Using the Sparse Matrix Transform NIPS 2008
Characterizing neural dependencies with copula models NIPS 2008
Learning with Consistency between Inductive Functions and Kernels NIPS 2008
Syntactic Topic Models NIPS 2008
A general framework for investigating how far the decoding process in the brain can be simplified NIPS 2008
Signal-to-Noise Ratio Analysis of Policy Gradient Algorithms NIPS 2008
Artificial Olfactory Brain for Mixture Identification NIPS 2008
Robust Kernel Principal Component Analysis NIPS 2008
Relative Margin Machines NIPS 2008
Bayesian Kernel Shaping for Learning Control NIPS 2008
An Extended Level Method for Efficient Multiple Kernel Learning NIPS 2008
Sparse Online Learning via Truncated Gradient NIPS 2008
Bayesian Model of Behaviour in Economic Games NIPS 2008
Skill Characterization Based on Betweenness NIPS 2008
Improved Moves for Truncated Convex Models NIPS 2008
Kernelized Sorting NIPS 2008
Posterior Consistency of the Silverman g-prior in Bayesian Model Choice NIPS 2008
Nonparametric Bayesian Learning of Switching Linear Dynamical Systems NIPS 2008
Optimization on a Budget: A Reinforcement Learning Approach NIPS 2008
Dependent Dirichlet Process Spike Sorting NIPS 2008
The Recurrent Temporal Restricted Boltzmann Machine NIPS 2008
Short-Term Depression in VLSI Stochastic Synapse NIPS 2008