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JMLR
2010
157views more  JMLR 2010»
13 years 2 months ago
Why are DBNs sparse?
Real stochastic processes operating in continuous time can be modeled by sets of stochastic differential equations. On the other hand, several popular model families, including hi...
Shaunak Chatterjee, Stuart Russell
EOR
2007
78views more  EOR 2007»
13 years 7 months ago
Heuristic modeling of expectation formation in a complex experimental information environment
Academic subjects made judgmental forecasts of a graphically presented time series in a laboratory experiment. Besides the past realizations of the time series itself, the only av...
Otwin Becker, Johannes Leitner, Ulrike Leopold-Wil...
PAMI
2006
168views more  PAMI 2006»
13 years 7 months ago
Graphical Models and Point Pattern Matching
This paper describes a novel solution to the rigid point pattern matching problem in Euclidean spaces of any dimension. Although we assume rigid motion, jitter is allowed. We pres...
Tibério S. Caetano, Terry Caelli, Dale Schu...
ICML
2009
IEEE
14 years 8 months ago
Large-scale deep unsupervised learning using graphics processors
The promise of unsupervised learning methods lies in their potential to use vast amounts of unlabeled data to learn complex, highly nonlinear models with millions of free paramete...
Rajat Raina, Anand Madhavan, Andrew Y. Ng
RE
2001
Springer
14 years 2 days ago
Events and Constraints: A Graphical Editor for Capturing Logic Requirements of Programs
A logic model checker can be an effective tool for debugging software applications. A stumbling block can be that model checking tools expect the user to supply a formal statement...
Margaret H. Smith, Gerard J. Holzmann, Kousha Etes...