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ICML
2003
IEEE
16 years 6 months ago
Margin Distribution and Learning
Recent theoretical results have shown that improved bounds on generalization error of classifiers can be obtained by explicitly taking the observed margin distribution of the trai...
Ashutosh Garg, Dan Roth
FUZZIEEE
2007
IEEE
15 years 12 months ago
Learning Fuzzy Linguistic Models from Low Quality Data by Genetic Algorithms
— Incremental rule base learning techniques can be used to learn models and classifiers from interval or fuzzyvalued data. These algorithms are efficient when the observation e...
Luciano Sánchez, José Otero
IJCNN
2006
IEEE
15 years 11 months ago
Learning to Segment Any Random Vector
— We propose a method that takes observations of a random vector as input, and learns to segment each observation into two disjoint parts. We show how to use the internal coheren...
Aapo Hyvärinen, Jukka Perkiö
ACOM
2006
Springer
15 years 11 months ago
Adaptiveness in Agent Communication: Application and Adaptation of Conversation Patterns
Communication in multi-agent systems (MASs) is usually governed by agent communication languages (ACLs) and communication protocols carrying a clear cut semantics. With an increasi...
Felix A. Fischer, Michael Rovatsos, Gerhard Wei&sz...
COOPIS
2002
IEEE
15 years 10 months ago
A Human Based Perception Model for Cooperative Intelligent Virtual Agents
Interactive virtual worlds provide a powerful medium for experimental learning and entertainment. Nowadays, virtual environments often incorporate human-like embodied virtual agent...
Pilar Herrero, Angélica de Antonio