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» Computational Techniques for Modelling Learning in Economics
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GECCO
2008
Springer
177views Optimization» more  GECCO 2008»
15 years 27 days ago
Reduced computation for evolutionary optimization in noisy environment
Evolutionary Algorithms’ (EAs’) application to real world optimization problems often involves expensive fitness function evaluation. Naturally this has a crippling effect on ...
Maumita Bhattacharya
CORR
2011
Springer
230views Education» more  CORR 2011»
14 years 6 months ago
Computational Rationalization: The Inverse Equilibrium Problem
Modeling the behavior of imperfect agents from a small number of observations is a difficult, but important task. In the singleagent decision-theoretic setting, inverse optimal co...
Kevin Waugh, Brian Ziebart, J. Andrew Bagnell
RECOMB
2007
Springer
16 years 4 days ago
A Bayesian Model That Links Microarray mRNA Measurements to Mass Spectrometry Protein Measurements
Abstract. An important problem in biology is to understand correspondences between mRNA microarray levels and mass spectrometry peptide counts. Recently, a compendium of mRNA expre...
Anitha Kannan, Andrew Emili, Brendan J. Frey
ICML
2004
IEEE
16 years 19 days ago
The Bayesian backfitting relevance vector machine
Traditional non-parametric statistical learning techniques are often computationally attractive, but lack the same generalization and model selection abilities as state-of-the-art...
Aaron D'Souza, Sethu Vijayakumar, Stefan Schaal
CONIELECOMP
2006
IEEE
15 years 5 months ago
Integrating Advanced GLSL Shading and XML Agents into a Learning-Oriented 3D Engine
Most of the existing 3D engines are overwhelmingly complex and do not integrate support for virtual characters. We have developed a teaching oriented 3D engine with support for su...
Edgar Velázquez-Armendáriz, Erik Mil...