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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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10862
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Papers (including subtopics)

Blind channel identification for speech dereverberation using l1-norm sparse learning NIPS 2007
Predicting Brain States from fMRI Data: Incremental Functional Principal Component Regression NIPS 2007
Agreement-Based Learning NIPS 2007
A Bayesian Framework for Cross-Situational Word-Learning NIPS 2007
Parallelizing Support Vector Machines on Distributed Computers NIPS 2007
Object Recognition by Scene Alignment NIPS 2007
A neural network implementing optimal state estimation based on dynamic spike train decoding NIPS 2007
Computational Equivalence of Fixed Points and No Regret Algorithms, and Convergence to Equilibria NIPS 2007
Catching Change-points with Lasso NIPS 2007
Feature Selection Methods for Improving Protein Structure Prediction with Rosetta NIPS 2007
Selecting Observations against Adversarial Objectives NIPS 2007
Spatial Latent Dirichlet Allocation NIPS 2007
Learning Visual Attributes NIPS 2007
Collapsed Variational Inference for HDP NIPS 2007
Progressive mixture rules are deviation suboptimal NIPS 2007
Hierarchical Penalization NIPS 2007
Linear programming analysis of loopy belief propagation for weighted matching NIPS 2007
Learning Horizontal Connections in a Sparse Coding Model of Natural Images NIPS 2007
COFI RANK - Maximum Margin Matrix Factorization for Collaborative Ranking NIPS 2007
Infinite State Bayes-Nets for Structured Domains NIPS 2007
Regularized Boost for Semi-Supervised Learning NIPS 2007
Consistent Minimization of Clustering Objective Functions NIPS 2007
The rat as particle filter NIPS 2007
Non-parametric Modeling of Partially Ranked Data NIPS 2007
Multiple-Instance Pruning For Learning Efficient Cascade Detectors NIPS 2007