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» Computational Techniques for Modelling Learning in Economics
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TSE
2011
134views more  TSE 2011»
14 years 6 months ago
Verifying the Evolution of Probability Distributions Governed by a DTMC
— We propose a new probabilistic temporal logic iLTL which captures properties of systems whose state can be represented by probability mass functions (pmf’s). Using iLTL, we c...
YoungMin Kwon, Gul A. Agha
ICPR
2000
IEEE
16 years 28 days ago
On Gaussian Radial Basis Function Approximations: Interpretation, Extensions, and Learning Strategies
In this paper we focus on an interpretation of Gaussian radial basis functions (GRBF) which motivates extensions and learning strategies. Specifically, we show that GRBF regressio...
Mário A. T. Figueiredo
CHI
2011
ACM
14 years 3 months ago
Modeling users of intelligent systems
While many devices today increasingly have the ability to predict human activities, it is still difficult to build accurate personalized machine learning models. As users today wi...
Stephanie Rosenthal
ACL
2009
14 years 9 months ago
Reinforcement Learning for Mapping Instructions to Actions
In this paper, we present a reinforcement learning approach for mapping natural language instructions to sequences of executable actions. We assume access to a reward function tha...
S. R. K. Branavan, Harr Chen, Luke S. Zettlemoyer,...
CVPR
2009
IEEE
16 years 7 months ago
Learning Rotational Features for Filament Detection
State-of-the-art approaches for detecting filament-like structures in noisy images rely on filters optimized for signals of a particular shape, such as an ideal edge or ridge. W...
François Fleuret, Germán Gonzá...