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ECML
2006
Springer
15 years 10 months ago
Learning in One-Shot Strategic Form Games
Abstract. We propose a machine learning approach to action prediction in oneshot games. In contrast to the huge literature on learning in games where an agent's model is deduc...
Alon Altman, Avivit Bercovici-Boden, Moshe Tennenh...
EKAW
2006
Springer
15 years 10 months ago
Iterative Bayesian Network Implementation by Using Annotated Association Rules
Abstract. This paper concerns the iterative implementation of a knowledge model in a data mining context. Our approach relies on coupling a Bayesian network design with an associat...
Clément Fauré, Sylvie Delprat, Jean-...
FSTTCS
2006
Springer
15 years 10 months ago
Approximation Algorithms for 2-Stage Stochastic Optimization Problems
Abstract. Stochastic optimization is a leading approach to model optimization problems in which there is uncertainty in the input data, whether from measurement noise or an inabili...
Chaitanya Swamy, David B. Shmoys
GCC
2006
Springer
15 years 10 months ago
GPFlow: An Intuitive Environment for Web Based Scientific Workflow
Increasingly scientists are using collections of software tools in their research. These tools are typically used in concert, often necessitating laborious and error prone manual ...
Asbjørn Rygg, Paul Roe, On Wong
GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
15 years 10 months ago
String transformation-based Bayesian classification or proteins
We describe a Markov chain Bayesian classification tool, SCS, that can perform data-driven classification of proteins and protein segments. Training data for interesting classific...
Timothy Meekhof, Gary W. Daughdrill, Robert B. Hec...
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