1940 search results - page 155 / 388 » Graph Transformation with Variables |
123
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KDD
2003
ACM
16 years 4 months ago
2003
ACM
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
136
Voted
RECOMB
2003
Springer
16 years 3 months ago
2003
Springer
We develop a new framework for inferring models of transcriptional regulation. The models in this approach, which we call physical models, are constructed on the basis of verifiab...
97
Voted
ISCAS
2005
IEEE
15 years 9 months ago
2005
IEEE
— This paper presents a parameter domain pruning method. Parameter domain pruning aims to identify parameter sub-domains that are more likely to produce feasible and good design ...
112
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FMCAD
2006
Springer
15 years 7 months ago
2006
Springer
We formally define--at the stream transformer level--a class of synchronous circuits that tolerate any variability in the latency of their environment. We study behavioral properti...
121
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AAAI
2006
15 years 5 months ago
2006
Object detection using Haar-like features is formulated as a maximum likelihood estimation. Object features are described by an arbitrary Bayesian Network (BN) of Haar-like featur...