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AAAI
2012
11 years 10 months ago
Learning the Kernel Matrix with Low-Rank Multiplicative Shaping
Selecting the optimal kernel is an important and difficult challenge in applying kernel methods to pattern recognition. To address this challenge, multiple kernel learning (MKL) ...
Tomer Levinboim, Fei Sha
MCS
2010
Springer
14 years 2 months ago
Multi-information Ensemble Diversity
Abstract. Understanding ensemble diversity is one of the most important fundamental issues in ensemble learning. Inspired by a recent work trying to explain ensemble diversity from...
Zhi-Hua Zhou, Nan Li
SODA
2003
ACM
132views Algorithms» more  SODA 2003»
13 years 9 months ago
Online learning in online auctions
We consider the problem of revenue maximization in online auctions, that is, auctions in which bids are received and dealt with one-by-one. In this note, we demonstrate that resul...
Avrim Blum, Vijay Kumar, Atri Rudra, Felix Wu
ICML
2009
IEEE
14 years 8 months ago
PAC-Bayesian learning of linear classifiers
We present a general PAC-Bayes theorem from which all known PAC-Bayes risk bounds are obtained as particular cases. We also propose different learning algorithms for finding linea...
Alexandre Lacasse, François Laviolette, Mar...
NN
2006
Springer
234views Neural Networks» more  NN 2006»
13 years 7 months ago
Attention in natural scenes: Neurophysiological and computational bases
How does attention operate in natural scenes? We show that the receptive fields of inferior temporal cortex neurons that implement object representations become small and located ...
Edmund T. Rolls, Gustavo Deco