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» Learning by Experience Networks in Learning Organizations
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JMLR
2010
140views more  JMLR 2010»
13 years 2 months ago
Learning Non-Stationary Dynamic Bayesian Networks
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
Joshua W. Robinson, Alexander J. Hartemink
ICIP
1999
IEEE
14 years 9 months ago
Video Sequence Learning and Recognition Via Dynamic Som
Information contained in the video sequences is crucial for an autonomous robot or a computer to learn and respond to its surrounding environment. In the past, robot vision is mai...
Qiong Liu, Yong Rui, Thomas S. Huang, Stephen E. L...
ACMSE
2005
ACM
14 years 1 months ago
First year experiences of NSF REU grant: emerging issues in computer networking
In this paper, we describe our first year experiences of administering the NSF-supported Research Experiences for Undergraduates program award. Emerging issues in computer network...
Stan Kurkovsky, Bhagyavati
SIGITE
2004
ACM
14 years 1 months ago
Experiences using tablet PCs in a programming laboratory
This experience report describes lessons learned using first generation tablet PCs to support active learning in an undergraduate computer science laboratory course. We learned th...
Stephen H. Edwards, N. Dwight Barnette
ASC
2006
13 years 7 months ago
Speeding up the learning of equivalence classes of bayesian network structures
For some time, learning Bayesian networks has been both feasible and useful in many problems domains. Recently research has been done on learning equivalence classes of Bayesian n...
Rónán Daly, Qiang Shen, J. Stuart Ai...