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GECCO
2003
Springer
153views Optimization» more  GECCO 2003»
14 years 23 days ago
SEPA: Structure Evolution and Parameter Adaptation in Feed-Forward Neural Networks
Abstract. In developing algorithms that dynamically changes the structure and weights of ANN (Artificial Neural Networks), there must be a proper balance between network complexit...
Paulito P. Palmes, Taichi Hayasaka, Shiro Usui
ICRA
2002
IEEE
127views Robotics» more  ICRA 2002»
14 years 14 days ago
Design and Control of a Three-Link Serial Manipulator for Lessons in Particle Dynamics
Design, control, and performance of a ball-throwing robot are examined in this paper. The objective of this project is to provide an interactive ball-throwing robotic arm for illu...
Mark A. Minor, Kent Jensen, Youngshik Kim
CVPR
2010
IEEE
14 years 13 days ago
Motion Fields to Predict Play Evolution in Dynamic Sport Scenes
Videos of multi-player team sports provide a challenging domain for dynamic scene analysis. Player actions and interactions are complex as they are driven by many factors, such as...
Kihwan Kim, Matthias Grundmann, Ariel Shamir, Iain...
CDC
2009
IEEE
118views Control Systems» more  CDC 2009»
14 years 8 days ago
Nash equilibrium problems with congestion costs and shared constraints
Abstract— Generalized Nash equilibria (GNE) represent extensions of the Nash solution concept when agents have shared strategy sets. This generalization is particularly relevant ...
Huibing Yin, Uday V. Shanbhag, Prashant G. Mehta
PKDD
2009
Springer
184views Data Mining» more  PKDD 2009»
14 years 3 days ago
Boosting Active Learning to Optimality: A Tractable Monte-Carlo, Billiard-Based Algorithm
Abstract. This paper focuses on Active Learning with a limited number of queries; in application domains such as Numerical Engineering, the size of the training set might be limite...
Philippe Rolet, Michèle Sebag, Olivier Teyt...