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ML
2000
ACM
157views Machine Learning» more  ML 2000»
13 years 8 months ago
A Multistrategy Approach to Classifier Learning from Time Series
We present an approach to inductive concept learning using multiple models for time series. Our objective is to improve the efficiency and accuracy of concept learning by decomposi...
William H. Hsu, Sylvian R. Ray, David C. Wilkins
ALT
2001
Springer
14 years 5 months ago
Learning of Boolean Functions Using Support Vector Machines
This paper concerns the design of a Support Vector Machine (SVM) appropriate for the learning of Boolean functions. This is motivated by the need of a more sophisticated algorithm ...
Ken Sadohara
AIED
2007
Springer
14 years 3 months ago
Learning Engagement: What Actions of Learners Could Best Predict It?
One important aspect of motivation is engagement. In order to learn, students need to be engaged in the learning activities. However, that does not always happen due to various fac...
Mihaela Cocea
INFOVIS
2005
IEEE
14 years 2 months ago
Voronoi Treemaps
Treemaps are a well-known method for the visualization of attributed hierarchical data. Previously proposed Treemap layout algorithms are limited to rectangular shapes, which caus...
Michael Balzer, Oliver Deussen
ECML
2006
Springer
14 years 16 days ago
Approximate Policy Iteration for Closed-Loop Learning of Visual Tasks
Abstract. Approximate Policy Iteration (API) is a reinforcement learning paradigm that is able to solve high-dimensional, continuous control problems. We propose to exploit API for...
Sébastien Jodogne, Cyril Briquet, Justus H....