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EUROCAST
2007
Springer
182views Hardware» more  EUROCAST 2007»
15 years 10 months ago
A k-NN Based Perception Scheme for Reinforcement Learning
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
José Antonio Martin H., Javier de Lope Asia...
128
Voted
AAAI
2007
15 years 6 months ago
Best-First AND/OR Search for Graphical Models
The paper presents and evaluates the power of best-first search over AND/OR search spaces in graphical models. The main virtue of the AND/OR representation is its sensitivity to ...
Radu Marinescu 0002, Rina Dechter
113
Voted
ICRA
2007
IEEE
125views Robotics» more  ICRA 2007»
15 years 10 months ago
Robot Communication Principal by Motion Synchronization using Orbit Attractor
Abstract— The human communication exists in various situations of our daily life. For human – robot communication or robot – robot communication, it is useful to design a com...
Masafumi Okada, Kenji Murakami
AUTOMATICA
2006
77views more  AUTOMATICA 2006»
15 years 3 months ago
Brand image and brand dilution in the fashion industry
We develop a dynamic optimal control model of a fashion designer's challenge of maintaining brand image in the face of short-term pro...t opportunities through expanded sales...
Peter M. Kort, Jonathan P. Caulkins, Richard F. Ha...
145
Voted
GECCO
2006
Springer
188views Optimization» more  GECCO 2006»
15 years 7 months ago
Dynamic multi-objective optimization with evolutionary algorithms: a forward-looking approach
This work describes a forward-looking approach for the solution of dynamic (time-changing) problems using evolutionary algorithms. The main idea of the proposed method is to combi...
Iason Hatzakis, David Wallace