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INFOCOM
2006
IEEE
15 years 9 months ago
Learn on the Fly: Data-Driven Link Estimation and Routing in Sensor Network Backbones
— In the context of IEEE 802.11b network testbeds, we examine the differences between unicast and broadcast link properties, and we show the inherent difficulties in precisely e...
Hongwei Zhang, Anish Arora, Prasun Sinha
171
Voted
DICTA
2003
15 years 5 months ago
Learning Semantic Concepts from Visual Data Using Neural Networks
For content-based image retrieval techniques, query image is used to pick up and rank some relevant images from a database using some certain similarity metric. If semantic feature...
Xiaohang Ma, Dianhui Wang
UAI
1996
15 years 4 months ago
Learning Equivalence Classes of Bayesian Network Structures
Two Bayesian-network structures are said to be equivalent if the set of distributions that can be represented with one of those structures is identical to the set of distributions...
David Maxwell Chickering
139
Voted
TSMC
2002
105views more  TSMC 2002»
15 years 3 months ago
On the use of learning automata in the control of broadcast networks: a methodology
Due to its fixed assignment nature, the well-known time division multiple access (TDMA) protocol suffers from poor performance when the offered traffic is bursty. In this paper, an...
Georgios I. Papadimitriou, Mohammad S. Obaidat, An...
155
Voted
ECAI
2010
Springer
15 years 1 months ago
Adaptive Markov Logic Networks: Learning Statistical Relational Models with Dynamic Parameters
Abstract. Statistical relational models, such as Markov logic networks, seek to compactly describe properties of relational domains by representing general principles about objects...
Dominik Jain, Andreas Barthels, Michael Beetz