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KDD
2004
ACM
126views Data Mining» more  KDD 2004»
15 years 10 months ago
Efficient closed pattern mining in the presence of tough block constraints
In recent years, various constrained frequent pattern mining problem formulations and associated algorithms have been developed that enable the user to specify various itemsetbase...
Krishna Gade, Jianyong Wang, George Karypis
IUI
1998
ACM
15 years 2 months ago
U-TEL: A Tool for Eliciting User Task Models from Domain Experts
Eliciting user-task models is a thorny problem in modelbased user interface design, and communicating domainspecific knowledge from an expert to a knowledge engineer is a continui...
R. Chung-Man Tam, David Maulsby, Angel R. Puerta
BMCBI
2006
137views more  BMCBI 2006»
14 years 10 months ago
A maximum likelihood framework for protein design
Background: The aim of protein design is to predict amino-acid sequences compatible with a given target structure. Traditionally envisioned as a purely thermodynamic question, thi...
Claudia L. Kleinman, Nicolas Rodrigue, Céci...
JMLR
2006
169views more  JMLR 2006»
14 years 10 months ago
Bayesian Network Learning with Parameter Constraints
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
GECCO
2007
Springer
201views Optimization» more  GECCO 2007»
15 years 4 months ago
A parallel framework for loopy belief propagation
There are many innovative proposals introduced in the literature under the evolutionary computation field, from which estimation of distribution algorithms (EDAs) is one of them....
Alexander Mendiburu, Roberto Santana, Jose Antonio...