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ICDM
2003
IEEE
104views Data Mining» more  ICDM 2003»
14 years 3 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
EJC
2003
13 years 11 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...
ICMLA
2010
13 years 8 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»
13 years 5 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
PAMI
1998
85views more  PAMI 1998»
13 years 10 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