Sciweavers

262 search results - page 49 / 53
» Bounded-Parameter Partially Observable Markov Decision Proce...
Sort
View
ICML
2007
IEEE
14 years 11 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...
AAAI
2010
14 years 10 days ago
Symbolic Dynamic Programming for First-order POMDPs
Partially-observable Markov decision processes (POMDPs) provide a powerful model for sequential decision-making problems with partially-observed state and are known to have (appro...
Scott Sanner, Kristian Kersting
INFFUS
2006
112views more  INFFUS 2006»
13 years 11 months ago
Target motion analysis and track association with a network of proximity sensors
Target motion analysis and track association are the aims of this paper. It is assumed that the target trajectory is only partially observable by using temporal processing of a si...
Régis Donati, Jean-Pierre Le Cadre
CIKM
2009
Springer
14 years 5 months ago
Using domain ontology for semantic web usage mining and next page prediction
This paper proposes the integration of semantic information drawn from a web application’s domain knowledge into all phases of the web usage mining process (preprocessing, patte...
Nizar R. Mabroukeh, Christie I. Ezeife
IFM
2010
Springer
190views Formal Methods» more  IFM 2010»
13 years 9 months ago
On Model Checking Techniques for Randomized Distributed Systems
Abstract. The automata-based model checking approach for randomized distributed systems relies on an operational interleaving semantics of the system by means of a Markov decision ...
Christel Baier