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126
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ICDM
2003
IEEE
104views Data Mining» more  ICDM 2003»
15 years 8 months ago
Structure Search and Stability Enhancement of Bayesian Networks
Learning Bayesian network structure from large-scale data sets, without any expertspecified ordering of variables, remains a difficult problem. We propose systematic improvements ...
Hanchuan Peng, Chris H. Q. Ding
126
Voted
EJC
2003
15 years 4 months ago
On Modeling Conceptual and Narrative Structure of Fairytales
We describe here our ongoing research on modeling conceptual and narrative structure of fairytales by a computer system. In this paper we focus on the variations of fairytales base...
Shinya Kawakami, Yoko Sato, Masaki Nakagawa, Bipin...
160
Voted
ICMLA
2010
15 years 1 months ago
Heuristic Method for Discriminative Structure Learning of Markov Logic Networks
Markov Logic Networks (MLNs) combine Markov Networks and first-order logic by attaching weights to firstorder formulas and viewing them as templates for features of Markov Networks...
Quang-Thang Dinh, Matthieu Exbrayat, Christel Vrai...
BCB
2010
125views Bioinformatics» more  BCB 2010»
14 years 10 months ago
Protein structure alignment using elastic shape analysis
In this paper we present a method for flexible protein structure alignment based on elastic shape analysis of backbones, in a manner that can incorporate different characteristics...
Wei Liu, Anuj Srivastava, Jinfeng Zhang
140
Voted
PAMI
1998
85views more  PAMI 1998»
15 years 3 months ago
Shape Evolution With Structural and Topological Changes Using Blending
This paper describes a framework for the estimation of shape from sparse or incomplete range data. It uses a shape representation called blending, which allows for the geometric c...
Douglas DeCarlo, Dimitris N. Metaxas