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» Topology optimization of structured power ground networks
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CVPR
2004
IEEE
16 years 1 months ago
Learning a Restricted Bayesian Network for Object Detection
Many classes of images have the characteristics of sparse structuring of statistical dependency and the presence of conditional independencies among various groups of variables. S...
Henry Schneiderman
BICOB
2009
Springer
15 years 6 months ago
Graph Spectral Approach for Identifying Protein Domains
Here we present a simple method based on graph spectral properties to automatically partition multi-domain proteins into individual domains. The identification of structural domain...
Hari Krishna Yalamanchili, Nita Parekh
GECCO
2006
Springer
202views Optimization» more  GECCO 2006»
15 years 3 months ago
Inference of genetic networks using S-system: information criteria for model selection
In this paper we present an evolutionary approach for inferring the structure and dynamics in gene circuits from observed expression kinetics. For representing the regulatory inte...
Nasimul Noman, Hitoshi Iba
SIGECOM
2008
ACM
126views ECommerce» more  SIGECOM 2008»
14 years 11 months ago
Behavioral experiments in networked trade
We report on an extensive series of highly controlled human subject experiments in networked trade. Our point of departure is a simple and well-studied bipartite network exchange ...
J. Stephen Judd, Michael Kearns
ICML
2004
IEEE
16 years 20 days ago
Learning Bayesian network classifiers by maximizing conditional likelihood
Bayesian networks are a powerful probabilistic representation, and their use for classification has received considerable attention. However, they tend to perform poorly when lear...
Daniel Grossman, Pedro Domingos