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ECSQARU
2005
Springer
15 years 10 months ago
On the Use of Restrictions for Learning Bayesian Networks
In this paper we explore the use of several types of structural restrictions within algorithms for learning Bayesian networks. These restrictions may codify expert knowledge in a g...
Luis M. de Campos, Javier Gomez Castellano
130
Voted
AUSAI
2004
Springer
15 years 10 months ago
A Bayesian Metric for Evaluating Machine Learning Algorithms
How to assess the performance of machine learning algorithms is a problem of increasing interest and urgency as the data mining application of myriad algorithms grows. The standard...
Lucas R. Hope, Kevin B. Korb
125
Voted
AUSAI
2004
Springer
15 years 10 months ago
A Dynamic Allocation Method of Basis Functions in Reinforcement Learning
In this paper, we propose a dynamic allocation method of basis functions, an Allocation/Elimination Gaussian Softmax Basis Function Network (AE-GSBFN), that is used in reinforcemen...
Shingo Iida, Kiyotake Kuwayama, Masayoshi Kanoh, S...
HIPC
2004
Springer
15 years 10 months ago
Autonomic Storage System Based on Automatic Learning
In this paper, we present a system capable of improving the I/O performance in an automatic way. This system is able to learn the behavior of the applications running on top and ï¬...
Francisco Hidrobo, Toni Cortes
127
Voted
ICALT
2003
IEEE
15 years 10 months ago
Completing LOM - How Additional Axioms Increase the Utility of Learning Object Metadata
Learning Objects Metadata describing educational resources in order to allow better reusability and retrieval. Unfortunately, annotating complete courses thoroughly with LOM metad...
Jan Brase, Mark Painter, Wolfgang Nejdl