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ICANN
2010
Springer
15 years 8 months ago
Empirical Analysis of the Divergence of Gibbs Sampling Based Learning Algorithms for Restricted Boltzmann Machines
Abstract. Learning algorithms relying on Gibbs sampling based stochastic approximations of the log-likelihood gradient have become a common way to train Restricted Boltzmann Machin...
Asja Fischer, Christian Igel
ICFP
2010
ACM
15 years 8 months ago
Polyvariant flow analysis with higher-ranked polymorphic types and higher-order effect operators
We present a type and effect system for flow analysis that makes essential use of higher-ranked polymorphism. We show that, for higher-order functions, the expressiveness of highe...
Stefan Holdermans, Jurriaan Hage
ICMCS
2010
IEEE
210views Multimedia» more  ICMCS 2010»
15 years 8 months ago
A framework for extracting musical similarities from peer-to-peer networks
The usage of peer-to-peer (p2p) networks for music information retrieval (MIR) tasks is gaining momentum. P2P file sharing networks can be used for collecting both search queries ...
Noam Koenigstein, Yuval Shavitt, Tomer Tankel, Ela...
ICMCS
2010
IEEE
168views Multimedia» more  ICMCS 2010»
15 years 8 months ago
Block-based image steganalysis for a multi-classifier
Traditional image steganalysis techniques for classification of steganograhic algorithms are conducted with respect to the entire image. In this work, we aim to design a multi-cla...
Seongho Cho, Jingwei Wang, C.-C. Jay Kuo, Byung-Ho...
ICML
2010
IEEE
15 years 8 months ago
Online Learning for Group Lasso
We develop a novel online learning algorithm for the group lasso in order to efficiently find the important explanatory factors in a grouped manner. Different from traditional bat...
Haiqin Yang, Zenglin Xu, Irwin King, Michael R. Ly...