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JMLR
2006
153views more  JMLR 2006»
15 years 2 months ago
Collaborative Multiagent Reinforcement Learning by Payoff Propagation
In this article we describe a set of scalable techniques for learning the behavior of a group of agents in a collaborative multiagent setting. As a basis we use the framework of c...
Jelle R. Kok, Nikos A. Vlassis
ETFA
2008
IEEE
15 years 8 months ago
Gesture recognition using evolution strategy neural network
A new approach to interact with an industrial robot using hand gestures is presented. System proposed here can learn a first time user’s hand gestures rapidly. This improves pro...
Johan Hägg, Baran Çürükl&uum...
ICONS
2008
IEEE
15 years 8 months ago
Using User Preferences to Enhance Privacy in Pervasive Systems
With the increasing interest in developing pervasive computing technologies there is growing recognition of the problems of maintaining user privacy. In the Daidalos pervasive sys...
Elizabeth Papadopoulou, Sarah McBurney, Nick K. Ta...
TNN
2008
119views more  TNN 2008»
15 years 2 months ago
Selecting Useful Groups of Features in a Connectionist Framework
Abstract--Suppose for a given classification or function approximation (FA) problem data are collected using sensors. From the output of the th sensor, features are extracted, ther...
Debrup Chakraborty, Nikhil R. Pal
ICPR
2000
IEEE
16 years 3 months ago
Image Distance Using Hidden Markov Models
We describe a method for learning statistical models of images using a second-order hidden Markov mesh model. First, an image can be segmented in a way that best matches its stati...
Daniel DeMenthon, David S. Doermann, Marc Vuilleum...