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KDD
1995
ACM
182views Data Mining» more  KDD 1995»
15 years 6 months ago
Accelerated Quantification of Bayesian Networks with Incomplete Data
Probabilistic expert systemsbased on Bayesian networks(BNs)require initial specification both a qualitative graphical structure and quantitative assessmentof conditional probabili...
Bo Thiesson
CBMS
2006
IEEE
15 years 9 months ago
MS2DB: An Algorithmic Approach to Determine Disulfide Linkage Patterns
Determining the number and location of disulfide bonds within a protein provide valuable insight into the protein’s three-dimensional structure. Purely computational methods tha...
Timothy Lee, Rahul Singh, Ten-Yang Yen, Bruce Mach...
PAMI
1998
107views more  PAMI 1998»
15 years 2 months ago
Graph Matching With a Dual-Step EM Algorithm
—This paper describes a new approach to matching geometric structure in 2D point-sets. The novel feature is to unify the tasks of estimating transformation geometry and identifyi...
Andrew D. J. Cross, Edwin R. Hancock
130
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CEC
2005
IEEE
15 years 8 months ago
Evolving hidden Markov models for protein secondary structure prediction
New results are presented for the prediction of secondary structure information for protein sequences using Hidden Markov Models (HMMs) evolved using a Genetic Algorithm (GA). We a...
Kyoung-Jae Won, Thomas Hamelryck, Adam Prügel...
ITRE
2005
IEEE
15 years 8 months ago
Structure learning of Bayesian networks using a semantic genetic algorithm-based approach
A Bayesian network model is a popular technique for data mining due to its intuitive interpretation. This paper presents a semantic genetic algorithm (SGA) to learn a complete qual...
Sachin Shetty, Min Song