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236
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AAMAS
2005
Springer
15 years 6 months ago
2005
Springer
Cooperative multi-agent systems are ones in which several agents attempt, through their interaction, to jointly solve tasks or to maximize utility. Due to the interactions among t...
202
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FASE
2008
Springer
15 years 8 months ago
2008
Springer
Abstract. Existing algorithms for regular inference (aka automata learning) allows to infer a finite state machine by observing the output that the machine produces in response to ...
198
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ICPR
2008
IEEE
16 years 7 months ago
2008
IEEE
We present a distributed machine learning framework based on support vector machines that allows classification problems to be solved iteratively through parallel update algorithm...
178
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ACL
1997
15 years 8 months ago
1997
Our goal is to identify the features that predict the occurrence and placement of discourse cues in tutorial explanations in order to aid in the automatic generation of explanatio...
163
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ECML
2007
Springer
16 years 23 days ago
2007
Springer
In this paper we study the identification of sparse interaction networks as a machine learning problem. Sparsity means that we are provided with a small data set and a high number...