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118
Voted
IJCAI
2003
15 years 2 months ago
2003
The problem of deriving joint policies for a group of agents that maximize some joint reward function can be modeled as a decentralized partially observable Markov decision proces...
98
Voted
ATAL
2010
Springer
15 years 2 months ago
2010
Springer
Partially Observable Markov Decision Process (POMDP) is a popular framework for planning under uncertainty in partially observable domains. Yet, the POMDP model is riskneutral in ...
118
Voted
ICASSP
2010
IEEE
15 years 1 months ago
2010
IEEE
This paper addresses the training of classification trees for weakly labelled data. We call ”weakly labelled data”, a training set such as the prior labelling information pro...
103
Voted
IJSC
2008
15 years 1 months ago
2008
ifferent abstraction levels, resulting in isolated `information silos'. An increasing number of task-specific software tools aim to support developers, but this often results ...
98
Voted
TIT
2008
15 years 1 months ago
2008
Abstract--In data communication networks, packets that arrive at the receiving host may be disordered for reasons such as retransmission of dropped packets or multi-path routing. R...