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ALT
2007
Springer
16 years 2 months ago
Pseudometrics for State Aggregation in Average Reward Markov Decision Processes
We consider how state similarity in average reward Markov decision processes (MDPs) may be described by pseudometrics. Introducing the notion of adequate pseudometrics which are we...
Ronald Ortner
IDEAL
2004
Springer
15 years 10 months ago
Generating and Applying Rules for Interval Valued Fuzzy Observations
Abstract. One of the objectives of intelligent data engineering and automated learning is to develop algorithms that learn the environment, generate rules, and take possible course...
André de Korvin, Chenyi Hu, Ping Chen
JMLR
2002
75views more  JMLR 2002»
15 years 4 months ago
Stability and Generalization
We define notions of stability for learning algorithms and show how to use these notions to derive generalization error bounds based on the empirical error and the leave-one-out e...
Olivier Bousquet, André Elisseeff
AGILEDC
2008
IEEE
15 years 11 months ago
Coding Dojo: An Environment for Learning and Sharing Agile Practices
A Coding Dojo is a meeting where a group of programmers gets together to learn, practice, and share experiences. This report describes the authors’ experience of creating and ru...
Danilo T. Sato, Hugo Corbucci, Mariana V. Bravo
ICALT
2008
IEEE
15 years 11 months ago
Students' Tracking Data: An Approach for Efficiently Tracking Computer Mediated Communications in Distance Learning
This paper presents an approach for closely observing the different levels of Human and Computer Interactions during student’s communication activities on Computer Mediated Comm...
Madeth May, Sébastien George, Patrick Pr&ea...