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GECCO
2007
Springer
276views Optimization» more  GECCO 2007»
14 years 4 months ago
Meta-optimizing semantic evolutionary search
I present MOSES (meta-optimizing semantic evolutionary search), a new probabilistic modeling (estimation of distribution) approach to program evolution. Distributions are not esti...
Moshe Looks
HUMO
2007
Springer
14 years 4 months ago
Robust Spectral 3D-Bodypart Segmentation Along Time
Abstract. In this paper we present a novel tool for body-part segmentation and tracking in the context of multiple camera systems. Our goal is to produce robust motion cues over ti...
Fabio Cuzzolin, Diana Mateus, Edmond Boyer, Radu H...
IDEAL
2007
Springer
14 years 4 months ago
Skill Combination for Reinforcement Learning
Recently researchers have introduced methods to develop reusable knowledge in reinforcement learning (RL). In this paper, we define simple principles to combine skills in reinforce...
Zhihui Luo, David A. Bell, Barry McCollum
ILP
2007
Springer
14 years 4 months ago
Building Relational World Models for Reinforcement Learning
Abstract. Many reinforcement learning domains are highly relational. While traditional temporal-difference methods can be applied to these domains, they are limited in their capaci...
Trevor Walker, Lisa Torrey, Jude W. Shavlik, Richa...
ISI
2007
Springer
14 years 4 months ago
Using Digital Chains of Custody on Constrained Devices to Verify Evidence
—A digital chain of custody is an account documenting digital data at a particular place and time. This paper gives a method of validating and authenticating a digital chain of c...
Phillip G. Bradford, Daniel A. Ray