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GECCO
2009
Springer
148views Optimization» more  GECCO 2009»
14 years 4 months ago
An evolutionary approach to constructive induction for link discovery
This paper presents a genetic programming-based symbolic regression approach to the construction of relational features in link analysis applications. Specifically, we consider t...
Tim Weninger, William H. Hsu, Jing Xia, Waleed Alj...
ICRA
2008
IEEE
114views Robotics» more  ICRA 2008»
14 years 4 months ago
Object dynamics prediction and motion generation based on reliable predictability
— Consistency of object dynamics, which is related to reliable predictability, is an important factor for generating object manipulation motions. This paper proposes a technique ...
Shun Nishide, Tetsuya Ogata, Ryunosuke Yokoya, Jun...
EEMMAS
2007
Springer
14 years 4 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. ...
IJCAI
2007
13 years 11 months ago
Constructing New and Better Evaluation Measures for Machine Learning
Evaluation measures play an important role in machine learning because they are used not only to compare different learning algorithms, but also often as goals to optimize in cons...
Jin Huang, Charles X. Ling
DAWAK
2010
Springer
13 years 10 months ago
Modelling Complex Data by Learning Which Variable to Construct
Abstract. This paper addresses a task of variable selection which consists in choosing a subset of variables that is sufficient to predict the target label well. Here instead of tr...
Françoise Fessant, Aurélie Le Cam, M...