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ICML
2009
IEEE
16 years 1 months ago
Using fast weights to improve persistent contrastive divergence
The most commonly used learning algorithm for restricted Boltzmann machines is contrastive divergence which starts a Markov chain at a data point and runs the chain for only a few...
Tijmen Tieleman, Geoffrey E. Hinton
WWW
2009
ACM
16 years 7 months ago
Learning to tag
Social tagging provides valuable and crucial information for large-scale web image retrieval. It is ontology-free and easy to obtain; however, irrelevant tags frequently appear, a...
Lei Wu, Linjun Yang, Nenghai Yu, Xian-Sheng Hua
WWW
2007
ACM
16 years 7 months ago
Understanding web search via a learning paradigm
Investigating whether one can view Web searching as a learning process, we examined the searching characteristics of 41 participants engaged in 246 searching tasks. We classified ...
Bernard J. Jansen, Brian Keith Smith, Danielle L. ...
WOWMOM
2009
ACM
128views Multimedia» more  WOWMOM 2009»
16 years 1 months ago
A queuing modeling approach for Load-Aware Route Selection in heterogeneous mesh networks
Wireless mesh networks are primarily used to provide Internet access by sharing the Internet connections of a limited number of gateways. If traffic is routed in the mesh without...
Raffaele Bruno, Marco Conti, Antonio Pinizzotto
ITS
2004
Springer
110views Multimedia» more  ITS 2004»
15 years 12 months ago
Scaffolding Self-Explanation to Improve Learning in Exploratory Learning Environments.
Abstract. Successful learning though exploration in open learning environments has been shown to depend on whether students possess the necessary meta-cognitive skills, including s...
Andrea Bunt, Cristina Conati, Kasia Muldner