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» Learning the required number of agents for complex tasks
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RAS
2006
108views more  RAS 2006»
13 years 7 months ago
A computational model of intention reading in imitation
Imitation in artificial systems involves a number of important aspects, such as extracting the relevant features of the demonstrated behaviour, inverse mapping observations, and e...
Bart Jansen, Tony Belpaeme
AAAI
2012
11 years 10 months ago
Online Kernel Selection: Algorithms and Evaluations
Kernel methods have been successfully applied to many machine learning problems. Nevertheless, since the performance of kernel methods depends heavily on the type of kernels being...
Tianbao Yang, Mehrdad Mahdavi, Rong Jin, Jinfeng Y...
IVA
2010
Springer
13 years 6 months ago
Interactive Motion Modeling and Parameterization by Direct Demonstration
Abstract. While interactive virtual humans are becoming widely used in education, training and therapeutic applications, building animations which are both realistic and parameteri...
Carlo Camporesi, Yazhou Huang, Marcelo Kallmann
IUI
2003
ACM
14 years 1 months ago
Lessons learned in modeling schizophrenic and depressed responsive virtual humans for training
This paper describes lessons learned in developing the linguistic, cognitive, emotional, and gestural models underlying virtual human behavior in a training application designed t...
Robert C. Hubal, Geoffrey A. Frank, Curry I. Guinn
NAACL
2003
13 years 9 months ago
Automatic Extraction of Semantic Networks from Text using Leximancer
Leximancer is a software system for performing conceptual analysis of text data in a largely language independent manner. The system is modelled on Content Analysis and provides u...
Andrew E. Smith