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ECML
2006
Springer
13 years 10 months ago
Reinforcement Learning for MDPs with Constraints
In this article, I will consider Markov Decision Processes with two criteria, each defined as the expected value of an infinite horizon cumulative return. The second criterion is e...
Peter Geibel
MCS
2005
Springer
14 years 2 months ago
Ensemble of SVMs for Incremental Learning
Support Vector Machines (SVMs) have been successfully applied to solve a large number of classification and regression problems. However, SVMs suffer from the catastrophic forgetti...
Zeki Erdem, Robi Polikar, Fikret S. Gürgen, N...
ACE
2004
197views Education» more  ACE 2004»
13 years 10 months ago
The Cryptic Crossword Puzzle as a Useful Analogue in Teaching Programming
Contrary to the apparent beliefs of many students, computer programming and problem solving are not amenable to purely book learning. These skills can be acquired only by practice...
Simon
ICML
2007
IEEE
14 years 9 months ago
Large-scale RLSC learning without agony
The advances in kernel-based learning necessitate the study on solving a large-scale non-sparse positive definite linear system. To provide a deterministic approach, recent resear...
Wenye Li, Kin-Hong Lee, Kwong-Sak Leung
AAAI
1996
13 years 10 months ago
Source Selection for Analogical Reasoning: An Empirical Approach
of it suffer from a number of limitations, including: The effectiveness of an analogical reasoner depends upon its ability to select a relevant analogical source. In many problem d...
William A. Stubblefield, George F. Luger