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AI
2002
Springer
14 years 9 months ago
Learning Bayesian networks from data: An information-theory based approach
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...
MAGS
2007
168views more  MAGS 2007»
14 years 9 months ago
Agent-based protein structure prediction
A protein is identified by a finite sequence of amino acids, each of them chosen from a set of 20 elements. The Protein Structure Prediction Problem is the problem of predicting...
Luca Bortolussi, Agostino Dovier, Federico Fogolar...
ASC
2004
14 years 9 months ago
Solving nonconvex climate control problems: pitfalls and algorithm performances
Global optimization can be used as the main component for reliable decision support systems. In this contribution, we explore numerical solution techniques for nonconvex and nondi...
Carmen G. Moles, Julio R. Banga, Klaus Keller
PR
2007
96views more  PR 2007»
14 years 9 months ago
Weighted and robust learning of subspace representations
A reliable system for visual learning and recognition should enable a selective treatment of individual parts of input data and should successfully deal with noise and occlusions....
Danijel Skocaj, Ales Leonardis, Horst Bischof
RAS
2008
149views more  RAS 2008»
14 years 9 months ago
Omni-directional mobile robot controller based on trajectory linearization
In this paper, a nonlinear controller design for an omni-directional mobile robot is presented. The robot controller consists of an outer-loop (kinematics) controller and an inner...
Yong Liu, J. Jim Zhu, Robert L. Williams II, Jianh...