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127
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GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
15 years 2 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
15 years 6 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
132
Voted
ML
2002
ACM
127views Machine Learning» more  ML 2002»
15 years 1 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
16 years 2 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
15 years 6 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