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109
Voted
EUROGP
2009
Springer
132views Optimization» more  EUROGP 2009»
15 years 7 months ago
A Statistical Learning Perspective of Genetic Programming
Code bloat, the excessive increase of code size, is an important issue in Genetic Programming (GP). This paper proposes a theoretical analysis of code bloat in GP from the perspec...
Nur Merve Amil, Nicolas Bredeche, Christian Gagn&e...
106
Voted
COLT
2008
Springer
15 years 1 months ago
Teaching Dimensions based on Cooperative Learning
The problem of how a teacher and a learner can cooperate in the process of learning concepts from examples in order to minimize the required sample size without “coding tricksâ€...
Sandra Zilles, Steffen Lange, Robert Holte, Martin...
NN
2008
Springer
143views Neural Networks» more  NN 2008»
15 years 14 days ago
A batch ensemble approach to active learning with model selection
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
Masashi Sugiyama, Neil Rubens
73
Voted
COLT
2006
Springer
15 years 4 months ago
On Optimal Learning Algorithms for Multiplicity Automata
Laurence Bisht, Nader H. Bshouty, Hanna Mazzawi
KDD
2002
ACM
147views Data Mining» more  KDD 2002»
16 years 28 days ago
Sequential cost-sensitive decision making with reinforcement learning
Recently, there has been increasing interest in the issues of cost-sensitive learning and decision making in a variety of applications of data mining. A number of approaches have ...
Edwin P. D. Pednault, Naoki Abe, Bianca Zadrozny