Sciweavers

9 search results - page 2 / 2
» A Learning Theorem for Networks at Detailed Stochastic Equil...
Sort
View
ICANN
2010
Springer
13 years 6 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
JSAC
2007
189views more  JSAC 2007»
13 years 5 months ago
Non-Cooperative Power Control for Wireless Ad Hoc Networks with Repeated Games
— One of the distinctive features in a wireless ad hoc network is lack of any central controller or single point of authority, in which each node/link then makes its own decision...
Chengnian Long, Qian Zhang, Bo Li, Huilong Yang, X...
IADIS
2004
13 years 6 months ago
Modeling the Development of Scientific Competence in Chemistry
We have developed models of how strategies are constructed and retained as male and female high school and university students gain experience in solving online qualitative chemic...
Ron Stevens, Amy Soller, Melanie Cooper, Marcia Sp...
KDD
2004
ACM
124views Data Mining» more  KDD 2004»
14 years 5 months ago
Eigenspace-based anomaly detection in computer systems
We report on an automated runtime anomaly detection method at the application layer of multi-node computer systems. Although several network management systems are available in th...
Hisashi Kashima, Tsuyoshi Idé