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» Using model knowledge for learning inverse dynamics
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MDAI
2005
Springer
15 years 9 months ago
Meta-data: Characterization of Input Features for Meta-learning
Abstract. Common inductive learning strategies offer the tools for knowledge acquisition, but possess some inherent limitations due to the use of fixed bias during the learning p...
Ciro Castiello, Giovanna Castellano, Anna Maria Fa...
AGENTS
1997
Springer
15 years 8 months ago
Integrating Communicative Action, Conversations and Decision Theory to Coordinate Agents
The coordination problem in multi-agent systems is the problem of managing dependencies between the activities of autonomous agents, in conditions of incomplete knowledge about th...
Mihai Barbuceanu, Mark S. Fox
118
Voted
IAT
2007
IEEE
15 years 10 months ago
Negotiation Dynamics: Analysis, Concession Tactics, and Outcomes
Given that a negotiation outcome is determined to a large extent by the successive offers exchanged by negotiating agents, it is useful to analyze dynamic patterns of the bidding,...
Koen V. Hindriks, Catholijn M. Jonker, Dmytro Tykh...
BMCBI
2006
119views more  BMCBI 2006»
15 years 3 months ago
Hidden Markov Model Variants and their Application
Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
Stephen Winters-Hilt
WEBDB
1998
Springer
106views Database» more  WEBDB 1998»
15 years 8 months ago
Interactive Query and Search in Semistructured Databases
Semistructured graph-based databases have been proposed as well-suited stores for World-Wide Web data. Yet so far, languages for querying such data are too complex for casual Web ...
Roy Goldman, Jennifer Widom