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GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
15 years 2 months ago
Multi-step environment learning classifier systems applied to hyper-heuristics
Heuristic Algorithms (HA) are very widely used to tackle practical problems in operations research. They are simple, easy to understand and inspire confidence. Many of these HAs a...
Javier G. Marín-Blázquez, Sonia Schu...
ENTCS
2008
153views more  ENTCS 2008»
14 years 11 months ago
Observable Behavior of Dynamic Systems: Component Reasoning for Concurrent Objects
Current object-oriented approaches to distributed programs may be criticized in several respects. First, method calls are generally synchronous, which leads to much waiting in dis...
Johan Dovland, Einar Broch Johnsen, Olaf Owe
JMLR
2010
88views more  JMLR 2010»
14 years 6 months ago
Inference and Learning in Networks of Queues
Probabilistic models of the performance of computer systems are useful both for predicting system performance in new conditions, and for diagnosing past performance problems. The ...
Charles A. Sutton, Michael I. Jordan
ICRA
2003
IEEE
222views Robotics» more  ICRA 2003»
15 years 4 months ago
Path planning using learned constraints and preferences
— In this paper we present a novel method for robot path planning based on learning motion patterns. A motion pattern is defined as the path that results from applying a set of ...
Gregory Dudek, Saul Simhon
CVPR
2011
IEEE
14 years 8 months ago
Learning Better Image Representations Using 'Flobject Analysis'
Unsupervised learning can be used to extract image representations that are useful for various and diverse vision tasks. After noticing that most biological vision systems for int...
Inmar Givoni, Patrick Li, Brendan Frey