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122
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ECML
2007
Springer
15 years 10 months ago
Dual Strategy Active Learning
Abstract. Active Learning methods rely on static strategies for sampling unlabeled point(s). These strategies range from uncertainty sampling and density estimation to multi-factor...
Pinar Donmez, Jaime G. Carbonell, Paul N. Bennett
114
Voted
EEMMAS
2007
Springer
15 years 10 months ago
Prediction Horizons in Agent Models
One motivation for many agent-based models is to predict the future. The nonlinearity of agent interactions in most non-trivial domains mean that the usefulness of such prediction...
H. Van Dyke Parunak, Theodore C. Belding, Sven A. ...
118
Voted
GECCO
2007
Springer
166views Optimization» more  GECCO 2007»
15 years 10 months ago
Scalable estimation-of-distribution program evolution
I present a new estimation-of-distribution approach to program evolution where distributions are not estimated over the entire space of programs. Rather, a novel representationbui...
Moshe Looks
145
Voted
ICDM
2006
IEEE
183views Data Mining» more  ICDM 2006»
15 years 9 months ago
Accelerating Newton Optimization for Log-Linear Models through Feature Redundancy
— Log-linear models are widely used for labeling feature vectors and graphical models, typically to estimate robust conditional distributions in presence of a large number of pot...
Arpit Mathur, Soumen Chakrabarti
129
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EUROPAR
2004
Springer
15 years 9 months ago
Experimental Study of Multi-criteria Scheduling Heuristics for GridRPC Systems
Abstract. We study in this paper several scheduling heuristics for GridRPC middlewares. When dealing with performance issue, the scheduling strategy is one of the most important fe...
Yves Caniou, Emmanuel Jeannot