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GECCO
2011
Springer
236views Optimization» more  GECCO 2011»
13 years 4 days ago
Online, GA based mixture of experts: a probabilistic model of ucs
In recent years there have been efforts to develop a probabilistic framework to explain the workings of a Learning Classifier System. This direction of research has met with lim...
Narayanan Unny Edakunni, Gavin Brown, Tim Kovacs
EGICE
2006
14 years 9 days ago
Bio-inspiration: Learning Creative Design Principia
Reusing or modifying known design concepts cannot meet new challenges for engineering systems. However, engineers can find inspiration outside their traditional domains in order to...
Tomasz Arciszewski, Joanna Cornell
VLDB
2007
ACM
295views Database» more  VLDB 2007»
14 years 2 months ago
From Data Privacy to Location Privacy: Models and Algorithms
This tutorial presents the definition, the models and the techniques of location privacy from the data privacy perspective. By reviewing and revising the state of art research in ...
Ling Liu
ICML
2005
IEEE
14 years 9 months ago
Learning the structure of Markov logic networks
Markov logic networks (MLNs) combine logic and probability by attaching weights to first-order clauses, and viewing these as templates for features of Markov networks. In this pap...
Stanley Kok, Pedro Domingos
GECCO
2003
Springer
160views Optimization» more  GECCO 2003»
14 years 1 months ago
Using Genetic Algorithms for Data Mining Optimization in an Educational Web-Based System
This paper presents an approach for classifying students in order to predict their final grade based on features extracted from logged data in an education web-based system. A comb...
Behrouz Minaei-Bidgoli, William F. Punch