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» Learning Taxonomies by Dependence Maximization
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GECCO
2006
Springer
156views Optimization» more  GECCO 2006»
15 years 9 months ago
Improving GP classifier generalization using a cluster separation metric
Genetic Programming offers freedom in the definition of the cost function that is unparalleled among supervised learning algorithms. However, this freedom goes largely unexploited...
Ashley George, Malcolm I. Heywood
SDM
2009
SIAM
117views Data Mining» more  SDM 2009»
16 years 2 months ago
Spatially Cost-Sensitive Active Learning.
In active learning, one attempts to maximize classifier performance for a given number of labeled training points by allowing the active learning algorithm to choose which points...
Alexander Liu, Goo Jun, Joydeep Ghosh
IADIS
2003
15 years 7 months ago
Knowledge Acquisition Strategies and Navigation in Hypermedia Learning Environments: THe Influence of Instructional Design Prope
In order to understand and enhance the value of new media in education it is necessary to develop criteria for the evaluation of the effectiveness of learning with hypermedia envi...
Mattias Steinke, Thomas Huk, Christian Floto
COLT
2006
Springer
15 years 9 months ago
Online Learning with Variable Stage Duration
We consider online learning in repeated decision problems, within the framework of a repeated game against an arbitrary opponent. For repeated matrix games, well known results esta...
Shie Mannor, Nahum Shimkin
DCC
2007
IEEE
16 years 5 months ago
Distributed Grayscale Stereo Image Coding with Unsupervised Learning of Disparity
Distributed compression is particularly attractive for stereo images since it avoids communication between cameras. Since compression performance depends on exploiting the redunda...
David P. Varodayan, Aditya Mavlankar, Markus Flier...