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EUROGP
2009
Springer
132views Optimization» more  EUROGP 2009»
15 years 10 months ago
A Statistical Learning Perspective of Genetic Programming
Code bloat, the excessive increase of code size, is an important issue in Genetic Programming (GP). This paper proposes a theoretical analysis of code bloat in GP from the perspec...
Nur Merve Amil, Nicolas Bredeche, Christian Gagn&e...
AIEDU
2006
115views more  AIEDU 2006»
15 years 3 months ago
CycleTalk: Data Driven Design of Support for Simulation Based Learning
In this article, we discuss the motivation for a novel style of tutorial dialogue system that emphasizes reflection in a simulation based exploratory learning environment called Cy...
Carolyn Penstein Rosé, Rohit Kumar, Vincent...
IJAR
2007
130views more  IJAR 2007»
15 years 3 months ago
Bayesian network learning algorithms using structural restrictions
The use of several types of structural restrictions within algorithms for learning Bayesian networks is considered. These restrictions may codify expert knowledge in a given domai...
Luis M. de Campos, Javier Gomez Castellano
SAGT
2010
Springer
175views Game Theory» more  SAGT 2010»
15 years 2 months ago
On Learning Algorithms for Nash Equilibria
Can learning algorithms find a Nash equilibrium? This is a natural question for several reasons. Learning algorithms resemble the behavior of players in many naturally arising gam...
Constantinos Daskalakis, Rafael Frongillo, Christo...
ICRA
2008
IEEE
149views Robotics» more  ICRA 2008»
15 years 10 months ago
Monocular range sensing: A non-parametric learning approach
Abstract— Mobile robots rely on the ability to sense the geometry of their local environment in order to avoid obstacles or to explore the surroundings. For this task, dedicated ...
Christian Plagemann, Felix Endres, Juergen Michael...