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AEI
1999
60views more  AEI 1999»
15 years 4 months ago
Rule-base content verification using a digraph-based modelling approach
Ensuring that the content of a rule-base, which is being encoded, is free from problems of consistency, completeness, and conciseness, is necessary to avoid any performance errors...
G. S. Gursaran, S. Kanungo, A. K. Sinha
JAIR
2002
120views more  JAIR 2002»
15 years 4 months ago
Learning Geometrically-Constrained Hidden Markov Models for Robot Navigation: Bridging the Topological-Geometrical Gap
Hidden Markov models hmms and partially observable Markov decision processes pomdps provide useful tools for modeling dynamical systems. They are particularly useful for represent...
Hagit Shatkay, Leslie Pack Kaelbling
110
Voted
SPEECH
1998
83views more  SPEECH 1998»
15 years 4 months ago
A stochastic model of intonation for text-to-speech synthesis
This paper presents a stochastic model of intonation contours for use in text-to-speech s. The model has two modules, a linguistic module that generates abstract prosodic rom text...
Jean Véronis, Philippe Di Cristo, Fabienne ...
147
Voted
ICPR
2010
IEEE
15 years 3 months ago
A Conductance Electrical Model for Representing and Matching Weighted Undirected Graphs
In this paper we propose a conductance electrical model to represent weighted undirected graphs that allows us to efficiently compute approximate graph isomorphism in large graph...
Manuel Igelmo, Alberto Sanfeliu, Miquel Ferrer
IS
2010
15 years 3 months ago
Identifying user strategies in exploratory learning with evolving task modelling
Abstract—In this paper we present work on adaptive identification of learners’ strategies, gradually developing a higher level of adaptation based on evolving models of mathem...
Mihaela Cocea, George D. Magoulas