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GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
15 years 9 months ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa
GECCO
2006
Springer
198views Optimization» more  GECCO 2006»
15 years 9 months ago
Reward allotment in an event-driven hybrid learning classifier system for online soccer games
This paper describes our study into the concept of using rewards in a classifier system applied to the acquisition of decision-making algorithms for agents in a soccer game. Our a...
Yuji Sato, Yosuke Akatsuka, Takenori Nishizono
ML
2007
ACM
156views Machine Learning» more  ML 2007»
15 years 5 months ago
Active learning for logistic regression: an evaluation
Which active learning methods can we expect to yield good performance in learning binary and multi-category logistic regression classifiers? Addressing this question is a natural ...
Andrew I. Schein, Lyle H. Ungar
STOC
2005
ACM
129views Algorithms» more  STOC 2005»
16 years 6 months ago
Learning with attribute costs
We study an extension of the "standard" learning models to settings where observing the value of an attribute has an associated cost (which might be different for differ...
Haim Kaplan, Eyal Kushilevitz, Yishay Mansour
HICSS
2002
IEEE
153views Biometrics» more  HICSS 2002»
15 years 10 months ago
Technology Supported Learning Applied to an Innovative, Integrated Curriculum for First-Year Engineering Majors
In September of 1998, the College of Engineering at the University of Massachusetts Dartmouth piloted an innovative, integrated, first-year curriculum. It dramatically changed 31 ...
Paul J. Fortier, Emily Fowler, Raymond N. Laoulach...