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DSRT
2008
IEEE
13 years 11 months ago
Two Complementary Tools for the Formal Testing of Distributed Systems with Time Constraints
The complexity and the variety of the deployed timedependent systems, as well as the high degree of reliability required for their global functioning, justify the care provided to...
Ana R. Cavalli, Edgardo Montes de Oca, Wissam Mall...
AAAI
2006
13 years 11 months ago
Distributed Interactive Learning in Multi-Agent Systems
Both explanation-based and inductive learning techniques have proven successful in a variety of distributed domains. However, learning in multi-agent systems does not necessarily ...
Jian Huang, Adrian R. Pearce
ICPR
2008
IEEE
14 years 11 months ago
Collaborative learning by boosting in distributed environments
In this paper we propose a new distributed learning method called distributed network boosting (DNB) algorithm for distributed applications. The learned hypotheses are exchanged b...
Shijun Wang, Changshui Zhang
ARTMED
2006
75views more  ARTMED 2006»
13 years 9 months ago
Semi-automatic learning of simple diagnostic scores utilizing complexity measures
Objective: Knowledge acquisition and maintenance in medical domains with a large application domain ontology is a difficult task. To reduce knowledge elicitation costs, semiautoma...
Martin Atzmüller, Joachim Baumeister, Frank P...
EWCBR
2008
Springer
13 years 11 months ago
Forgetting Reinforced Cases
To meet time constraints, a CBR system must control the time spent searching in the case base for a solution. In this paper, we presents the results of a case study comparing the p...
Houcine Romdhane, Luc Lamontagne