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GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
13 years 10 months ago
Fitness importance for online evolution
To complement standard fitness functions, we propose "Fitness Importance" (FI) as a novel meta-heuristic for online learning systems. We define FI and show how it can be...
Philip Valencia, Raja Jurdak, Peter Lindsay
SIGUCCS
1998
ACM
14 years 2 months ago
IT Training for Students, Who Needs It?
This presentation will be a discussion of two Information Technology training programs at the university/college level. The two programs are ”The Student Peer Trainers”(SPT) a...
Penny Haselwander
ML
2002
ACM
127views Machine Learning» more  ML 2002»
13 years 10 months ago
Sparse Regression Ensembles in Infinite and Finite Hypothesis Spaces
We examine methods for constructing regression ensembles based on a linear program (LP). The ensemble regression function consists of linear combinations of base hypotheses generat...
Gunnar Rätsch, Ayhan Demiriz, Kristin P. Benn...
CHI
2008
ACM
14 years 10 months ago
Investigating statistical machine learning as a tool for software development
As statistical machine learning algorithms and techniques continue to mature, many researchers and developers see statistical machine learning not only as a topic of expert study,...
Kayur Patel, James Fogarty, James A. Landay, Bever...
ICML
1989
IEEE
14 years 2 months ago
Uncertainty Based Selection of Learning Experiences
The training experiences needed by a learning system may be selected by either an external agent or the system itself. We show that knowledge of the current state of the learner&#...
Paul D. Scott, Shaul Markovitch