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111
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SPIRE
2005
Springer
15 years 9 months ago
A Model for Information Retrieval Based on Possibilistic Networks
This paper proposes a model for Information Retrieval (IR) based on possibilistic directed networks. Relations documents-terms and query-terms are modeled through possibility and n...
Asma Brini, Mohand Boughanem, Didier Dubois
146
Voted
IROS
2009
IEEE
201views Robotics» more  IROS 2009»
15 years 10 months ago
Modeling tool-body assimilation using second-order Recurrent Neural Network
— Tool-body assimilation is one of the intelligent human abilities. Through trial and experience, humans are capable of using tools as if they are part of their own bodies. This ...
Shun Nishide, Tatsuhiro Nakagawa, Tetsuya Ogata, J...
114
Voted
PROCEDIA
2010
123views more  PROCEDIA 2010»
15 years 2 months ago
An adaptive model switching and discretization algorithm for gas flow on networks
We are interested in the simulation and optimization of gas transport in networks. Those networks consist of pipes and various other components like compressor stations and valves...
Pia Domschke, Oliver Kolb, Jens Lang
132
Voted
ADHOC
2007
115views more  ADHOC 2007»
15 years 3 months ago
Modeling adaptive node capture attacks in multi-hop wireless networks
We investigate the problem of modeling node capture attacks in heterogeneous wireless ad hoc and mesh networks. Classical adversarial models such as the Dolev–Yao model are know...
Patrick Tague, Radha Poovendran
129
Voted
AUSDM
2007
Springer
107views Data Mining» more  AUSDM 2007»
15 years 9 months ago
Preference Networks: Probabilistic Models for Recommendation Systems
Recommender systems are important to help users select relevant and personalised information over massive amounts of data available. We propose an unified framework called Prefer...
Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh