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ICML
2007
IEEE
14 years 9 months ago
Conditional random fields for multi-agent reinforcement learning
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
Xinhua Zhang, Douglas Aberdeen, S. V. N. Vishwanat...
CONCUR
1999
Springer
14 years 1 months ago
Partial Order Reduction for Model Checking of Timed Automata
Abstract. The paper presents a partial order reduction method applicable to networks of timed automata. The advantage of the method is that it reduces both the number of explored c...
Marius Minea
CORR
2012
Springer
225views Education» more  CORR 2012»
12 years 4 months ago
The Filter-Placement Problem and its Application to Minimizing Information Multiplicity
In many information networks, data items – such as updates in social networks, news flowing through interconnected RSS feeds and blogs, measurements in sensor networks, route u...
Dóra Erdös, Vatche Ishakian, Andrei La...
JUCS
2010
215views more  JUCS 2010»
13 years 3 months ago
A Multidisciplinary Survey of Computational Techniques for the Modelling, Simulation and Analysis of Biochemical Networks
: All processes of life are controlled by networks of interacting biochemical components. The purpose of modelling these networks is manifold. From a theoretical point of view it a...
James Decraene, Thomas Hinze
MOBIWAC
2009
ACM
14 years 3 months ago
The sociable traveller: human travelling patterns in social-based mobility
Understanding how humans move is a key factor for the design and evaluation of networking protocols and mobility management solutions in mobile networks. This is particularly true...
Chiara Boldrini, Marco Conti, Andrea Passarella