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RECOMB
2004
Springer
14 years 7 months ago
Learning Regulatory Network Models that Represent Regulator States and Roles
Abstract. We present an approach to inferring probabilistic models of generegulatory networks that is intended to provide a more mechanistic representation of transcriptional regul...
Keith Noto, Mark Craven
IJCAI
2007
13 years 9 months ago
A Bayesian Computational Cognitive Model
Computational cognitive modeling has recently emerged as one of the hottest issues in the AI area. Both symbolic approaches and connectionist approaches present their merits and d...
Zhiwei Shi, Hong Hu, Zhongzhi Shi
ICDM
2002
IEEE
143views Data Mining» more  ICDM 2002»
14 years 14 days ago
A Hybrid Approach to Discover Bayesian Networks From Databases Using Evolutionary Programming
This paper describes a novel data mining approach that employs evolutionary programming to discover knowledge represented in Bayesian networks. There are two different approaches ...
Man Leung Wong, Shing Yan Lee, Kwong-Sak Leung
EMNLP
2009
13 years 5 months ago
A Bayesian Model of Syntax-Directed Tree to String Grammar Induction
Tree based translation models are a compelling means of integrating linguistic information into machine translation. Syntax can inform lexical selection and reordering choices and...
Trevor Cohn, Phil Blunsom
PAMI
2007
166views more  PAMI 2007»
13 years 7 months ago
A Bayesian, Exemplar-Based Approach to Hierarchical Shape Matching
—This paper presents a novel probabilistic approach to hierarchical, exemplar-based shape matching. No feature correspondence is needed among exemplars, just a suitable pairwise ...
Dariu Gavrila