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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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1644
10862
15958
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Papers (including subtopics)

Mining Internet-Scale Software Repositories NIPS 2007
Optimal models of sound localization by barn owls NIPS 2007
Discriminative K-means for Clustering NIPS 2007
Heterogeneous Component Analysis NIPS 2007
An Analysis of Inference with the Universum NIPS 2007
Exponential Family Predictive Representations of State NIPS 2007
One-Pass Boosting NIPS 2007
The Value of Labeled and Unlabeled Examples when the Model is Imperfect NIPS 2007
On higher-order perceptron algorithms NIPS 2007
Fast Variational Inference for Large-scale Internet Diagnosis NIPS 2007
The Infinite Markov Model NIPS 2007
Retrieved context and the discovery of semantic structure NIPS 2007
Active Preference Learning with Discrete Choice Data NIPS 2007
Bayesian binning beats approximate alternatives: estimating peri-stimulus time histograms NIPS 2007
Online Linear Regression and Its Application to Model-Based Reinforcement Learning NIPS 2007
Transfer Learning using Kolmogorov Complexity: Basic Theory and Empirical Evaluations NIPS 2007
McRank: Learning to Rank Using Multiple Classification and Gradient Boosting NIPS 2007
A Randomized Algorithm for Large Scale Support Vector Learning NIPS 2007
Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation NIPS 2007
The Price of Bandit Information for Online Optimization NIPS 2007
Iterative Non-linear Dimensionality Reduction with Manifold Sculpting NIPS 2007
Support Vector Machine Classification with Indefinite Kernels NIPS 2007
Learning with Transformation Invariant Kernels NIPS 2007
A probabilistic model for generating realistic lip movements from speech NIPS 2007
Automatic Generation of Social Tags for Music Recommendation NIPS 2007