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ICML
2009
IEEE
14 years 5 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
ICC
2007
IEEE
14 years 4 months ago
Novel Link Weight for Path Construction Based on Overall QoS Index
— A weight or cost is usually assigned to each link for consideration in path construction, and the delay and loss rate have been used as conventional link weights. However, when...
Yudai Nitta, Taro Hashimoto, Katsuyoshi Iida, Kats...
AAAI
2006
13 years 11 months ago
Proposing a New Term Weighting Scheme for Text Categorization
In text categorization, term weighting methods assign appropriate weights to the terms to improve the classification performance. In this study, we propose an effective term weigh...
Man Lan, Chew Lim Tan, Hwee-Boon Low
IPL
2006
86views more  IPL 2006»
13 years 10 months ago
Monotone circuits for monotone weighted threshold functions
Weighted threshold functions with positive weights are a natural generalization of unweighted threshold functions. These functions are clearly monotone. However, the naive way of ...
Amos Beimel, Enav Weinreb
WWW
2009
ACM
14 years 5 months ago
Reliability analysis using weighted combinational models for web-based software
In the past, some researches suggested that engineers can use combined software reliability growth models (SRGMs) to obtain more accurate reliability prediction during testing. In...
Chao-Jung Hsu, Chin-Yu Huang