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ICCV
2005
IEEE
16 years 6 months ago
Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
Zhuowen Tu
ECAI
2006
Springer
15 years 8 months ago
Cheating Is Not Playing: Methodological Issues of Computational Game Theory
Abstract. Computational Game Theory is a way to study and evaluate behaviors using game theory models, via agent-based computer simulations. One of the most known example of this a...
Bruno Beaufils, Philippe Mathieu
GECCO
2006
Springer
175views Optimization» more  GECCO 2006»
15 years 8 months ago
A computational theory of adaptive behavior based on an evolutionary reinforcement mechanism
Two mathematical and two computational theories from the field of human and animal learning are combined to produce a more general theory of adaptive behavior. The cornerstone of ...
J. J. McDowell, Paul L. Soto, Jesse Dallery, Saule...
ECAI
2004
Springer
15 years 9 months ago
Towards a Logical Analysis of Biochemical Reactions
We provide a logical model of biochemical reactions and show how hypothesis generation using weakest sufficient and strongest necessary conditions may be used to provide addition...
Patrick Doherty, Steve Kertes, Martin Magnusson, A...
MOC
2002
100views more  MOC 2002»
15 years 4 months ago
Numerical computation of viscous profiles for hyperbolic conservation laws
Viscous profiles of shock waves in systems of conservation laws can be viewed as heteroclinic orbits in associated systems of ordinary differential equations (ODE). In the case of ...
Heinrich Freistühler, Christian Rohde