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» Machine Learning for Information Extraction
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STOC
2005
ACM
150views Algorithms» more  STOC 2005»
16 years 3 months ago
Correcting errors without leaking partial information
This paper explores what kinds of information two parties must communicate in order to correct errors which occur in a shared secret string W. Any bits they communicate must leak ...
Yevgeniy Dodis, Adam Smith
ECIR
2006
Springer
15 years 4 months ago
Automatic Document Organization in a P2P Environment
Abstract. This paper describes an efficient method to construct reliable machine learning applications in peer-to-peer (P2P) networks by building ensemble based meta methods. We co...
Stefan Siersdorfer, Sergej Sizov
IJCNN
2008
IEEE
15 years 9 months ago
Learning to select relevant perspective in a dynamic environment
— When an agent observes its environment, there are two important characteristics of the perceived information. One is the relevance of information and the other is redundancy. T...
Zhihui Luo, David A. Bell, Barry McCollum, Qingxia...
FLAIRS
2000
15 years 4 months ago
Learning to Transfer Knowledge between Reference Systems
Representationandinference of spatial knowledgeplay a fundamentalrole in spatial reasoning,whichitself is an important componentof manyapplications such as GeographicInformationSy...
Maria do Carmo Nicoletti, Jane Brennan
COLT
2007
Springer
15 years 9 months ago
Online Learning with Prior Knowledge
The standard so-called experts algorithms are methods for utilizing a given set of “experts” to make good choices in a sequential decision-making problem. In the standard setti...
Elad Hazan, Nimrod Megiddo