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NIPS
2001
14 years 11 months ago
Sampling Techniques for Kernel Methods
We propose randomized techniques for speeding up Kernel Principal Component Analysis on three levels: sampling and quantization of the Gram matrix in training, randomized rounding...
Dimitris Achlioptas, Frank McSherry, Bernhard Sch&...
NIPS
2001
14 years 11 months ago
(Not) Bounding the True Error
We present a new approach to bounding the true error rate of a continuous valued classifier based upon PAC-Bayes bounds. The method first constructs a distribution over classifier...
John Langford, Rich Caruana
NIPS
2001
14 years 11 months ago
Correlation Codes in Neuronal Populations
Population codes often rely on the tuning of the mean responses to the stimulus parameters. However, this information can be greatly suppressed by long range correlations. Here we...
Maoz Shamir, Haim Sompolinsky
NIPS
2001
14 years 11 months ago
Adaptive Sparseness Using Jeffreys Prior
In this paper we introduce a new sparseness inducing prior which does not involve any (hyper)parameters that need to be adjusted or estimated. Although other applications are poss...
Mário A. T. Figueiredo
NIPS
2001
14 years 11 months ago
Playing is believing: The role of beliefs in multi-agent learning
We propose a new classification for multi-agent learning algorithms, with each league of players characterized by both their possible strategies and possible beliefs. Using this c...
Yu-Han Chang, Leslie Pack Kaelbling