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AAAI
2007
13 years 7 months ago
Learning Graphical Model Structure Using L1-Regularization Paths
Sparsity-promoting L1-regularization has recently been succesfully used to learn the structure of undirected graphical models. In this paper, we apply this technique to learn the ...
Mark W. Schmidt, Alexandru Niculescu-Mizil, Kevin ...
IJKESDP
2010
94views more  IJKESDP 2010»
13 years 2 months ago
Rule acquisition for cognitive agents by using estimation of distribution algorithms
Cognitive Agents must be able to decide their actions based on their recognized states. In general, learning mechanisms are equipped for such agents in order to realize intellgent ...
Tokue Nishimura, Hisashi Handa
CHI
1997
ACM
13 years 9 months ago
Cognitive Modeling Reveals Menu Search is Both Random and Systematic
To understand how people search for a known target item in an unordered pull-down menu, this research presents cognitive models that vary serial versus parallel processing of menu...
Anthony J. Hornof, David E. Kieras
ICUMT
2009
13 years 2 months ago
Application of smoothed estimators in spectrum sensing technique based on model selection
In cognitive radio networks, secondary user (SU) does not have rights to transmit when the primary user (PU) band is occupied, that's why a sensing technique must be done. Rec...
Bassem Zayen, Aawatif Hayar, Hamza Debbabi, Hichem...
ICCV
2001
IEEE
14 years 6 months ago
Topology Free Hidden Markov Models: Application to Background Modeling
Hidden Markov Models (HMMs) are increasingly being used in computer vision for applications such as: gesture analysis, action recognition from video, and illumination modeling. Th...
Bjoern Stenger, Visvanathan Ramesh, Nikos Paragios...