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» Learning How to Propagate Using Random Probing
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IPPS
2007
IEEE
14 years 3 months ago
Replication Strategy in Unstructured Peer-to-Peer Systems
1 The unstructured Peer-to-Peer (P2P) systems usually use a “blind search” method to find the requested data object by propagating a query to a number of peers randomly. In or...
Guofu Feng, Yuquan Jiang, Guihai Chen, Qing Gu, Sa...
CSCLP
2006
Springer
14 years 20 days ago
Efficient Recognition of Acyclic Clustered Constraint Satisfaction Problems
Abstract. In this paper we present a novel approach to solving Constraint Satisfaction Problems whose constraint graphs are highly clustered and the graph of clusters is close to b...
Igor Razgon, Barry O'Sullivan
JMLR
2011
111views more  JMLR 2011»
13 years 3 months ago
Models of Cooperative Teaching and Learning
While most supervised machine learning models assume that training examples are sampled at random or adversarially, this article is concerned with models of learning from a cooper...
Sandra Zilles, Steffen Lange, Robert Holte, Martin...
SIGMOD
2009
ACM
185views Database» more  SIGMOD 2009»
14 years 9 months ago
Attacks on privacy and deFinetti's theorem
In this paper we present a method for reasoning about privacy using the concepts of exchangeability and deFinetti's theorem. We illustrate the usefulness of this technique by...
Daniel Kifer
CVPR
2006
IEEE
14 years 11 months ago
Stereo Matching with Symmetric Cost Functions
Recently, many global stereo methods have achieved good results by modeling a disparity surface as a Markov random field (MRF) and by solving an optimization problem with various ...
Kuk-Jin Yoon, In-So Kweon