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ICMAS
1998
15 years 8 months ago
How to Explore your Opponent's Strategy (almost) Optimally
This work presents a lookahead-based exploration strategy for a model-based learning agent that enables exploration of the opponent's behavior during interaction in a multi-a...
David Carmel, Shaul Markovitch
IDA
2006
Springer
15 years 6 months ago
Classification of symbolic objects: A lazy learning approach
Symbolic data analysis aims at generalizing some standard statistical data mining methods, such as those developed for classification tasks, to the case of symbolic objects (SOs). ...
Annalisa Appice, Claudia d'Amato, Floriana Esposit...
JIRS
2006
104views more  JIRS 2006»
15 years 6 months ago
Symbolic Trajectory Description in Mobile Robotics
Abstract. Autonomous mobile robot navigation systems are based on three principal kinds of techniques: map-based navigation, map-building-based navigation and mapless navigation. W...
Gilbert Pradel, Philippe Hoppenot
JSS
2006
107views more  JSS 2006»
15 years 6 months ago
Measuring the usability of software components
The last decade marked the first real attempt to turn software development into engineering through the concepts of ComponentBased Software Development (CBSD) and Commercial Off-T...
Manuel F. Bertoa, José M. Troya, Antonio Va...
SIAMSC
2008
193views more  SIAMSC 2008»
15 years 6 months ago
Exact and Approximate Sparse Solutions of Underdetermined Linear Equations
Abstract. In this paper, we empirically investigate the NP-hard problem of finding sparsest solutions to linear equation systems, i.e., solutions with as few nonzeros as possible. ...
Sadegh Jokar, Marc E. Pfetsch