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» Costs of General Purpose Learning
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ICML
2008
IEEE
14 years 8 months ago
An object-oriented representation for efficient reinforcement learning
Rich representations in reinforcement learning have been studied for the purpose of enabling generalization and making learning feasible in large state spaces. We introduce Object...
Carlos Diuk, Andre Cohen, Michael L. Littman
ICAI
2004
13 years 9 months ago
A Comparison of Resampling Methods for Clustering Ensembles
-- Combination of multiple clusterings is an important task in the area of unsupervised learning. Inspired by the success of supervised bagging algorithms, we propose a resampling ...
Behrouz Minaei-Bidgoli, Alexander P. Topchy, Willi...
EDM
2008
121views Data Mining» more  EDM 2008»
13 years 9 months ago
Analytic Comparison of Three Methods to Evaluate Tutorial Behaviors
We compare the purposes, inputs, representations, and assumptions of three methods to evaluate the fine-grained interactions of intelligent tutors with their students. One method i...
Jack Mostow, Xiaonan Zhang
ICML
1996
IEEE
14 years 8 months ago
Learning Goal Oriented Bayesian Networks for Telecommunications Risk Management
This paper discusses issues related to Bayesian network model learning for unbalanced binary classification tasks. In general, the primary focus of current research on Bayesian ne...
Kazuo J. Ezawa, Moninder Singh, Steven W. Norton
C5
2006
IEEE
14 years 1 months ago
Idioms for Composing Games with EToys
1 Creating one’s own games has been the main motivation for many people to learn programming. But the barrier to learn a general purpose programming language is very high, espec...
Markus Gälli, Oscar Nierstrasz, Serge Stinckw...