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» Learning Rules for Adaptive Planning
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ICC
2007
IEEE
102views Communications» more  ICC 2007»
14 years 3 months ago
Use of Fuzzy Bayesian Clustering to Enhance Generalization Capacity of Radio Network Planning Tool
— To enhance the generalization capacity of a distribution learning method, we propose to use a fuzzy Bayesian framework based on Bayes rules. The precision of the learning resul...
Zakaria Nouir, Berna Sayraç, Benoît F...
ICANN
2003
Springer
14 years 2 months ago
Optimal Hebbian Learning: A Probabilistic Point of View
Many activity dependent learning rules have been proposed in order to model long-term potentiation (LTP). Our aim is to derive a spike time dependent learning rule from a probabili...
Jean-Pascal Pfister, David Barber, Wulfram Gerstne...
IFIP12
2009
13 years 6 months ago
Learning Rules from User Behaviour
Pervasive computing requires infrastructures that adapt to changes in user behaviour while minimising user interactions. Policy-based approaches have been proposed as a means of pr...
Domenico Corapi, Oliver Ray, Alessandra Russo, Aro...
ML
2006
ACM
105views Machine Learning» more  ML 2006»
13 years 8 months ago
Propositionalization-based relational subgroup discovery with RSD
Abstract Relational rule learning algorithms are typically designed to construct classification and prediction rules. However, relational rule learning can be adapted also to subgr...
Filip Zelezný, Nada Lavrac
CAEPIA
2007
Springer
14 years 3 months ago
Knowledge Engineering and Planning for the Automated Synthesis of Customized Learning Designs
This paper describes an approach to automatically obtain an HTN planning domain from a well structured learning objects repository and also to apply an HTN planner to obtain IMS Le...
Luis A. Castillo, Lluvia Morales, Arturo Gonz&aacu...