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» Computational models of classical conditioning
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RECOMB
2000
Springer
15 years 9 months ago
Using Bayesian networks to analyze expression data
DNA hybridization arrays simultaneously measure the expression level for thousands of genes. These measurements provide a "snapshot" of transcription levels within the c...
Nir Friedman, Michal Linial, Iftach Nachman, Dana ...
IJCAI
2001
15 years 7 months ago
Complexity of Probabilistic Planning under Average Rewards
A general and expressive model of sequential decision making under uncertainty is provided by the Markov decision processes (MDPs) framework. Complex applications with very large ...
Jussi Rintanen
128
Voted
WSC
1998
15 years 6 months ago
Sequential Allocations that Reduce Risk for Multiple Comparisons
We consider how to efficiently allocate computing resources in order to infer the best of a finite set of simulated systems, where best means that the system has the maximal expec...
Stephen E. Chick, Koichiro Inoue
ACL
2010
15 years 3 months ago
Practical Very Large Scale CRFs
Conditional Random Fields (CRFs) are a widely-used approach for supervised sequence labelling, notably due to their ability to handle large description spaces and to integrate str...
Thomas Lavergne, Olivier Cappé, Franç...
ICCV
2009
IEEE
15 years 3 months ago
Jointly estimating demographics and height with a calibrated camera
One important problem in computer vision is to provide a demographic description a person from an image. In practice, many of the state-of-the-art methods use only an analysis of ...
Andrew C. Gallagher, Andrew C. Blose, Tsuhan Chen