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» Efficient Algorithms for General Active Learning
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JMLR
2002
83views more  JMLR 2002»
13 years 8 months ago
On Online Learning of Decision Lists
A fundamental open problem in computational learning theory is whether there is an attribute efficient learning algorithm for the concept class of decision lists (Rivest, 1987; Bl...
Ziv Nevo, Ran El-Yaniv
PR
2006
89views more  PR 2006»
13 years 8 months ago
Gaussian fields for semi-supervised regression and correspondence learning
Gaussian fields (GF) have recently received considerable attention for dimension reduction and semi-supervised classification. In this paper we show how the GF framework can be us...
Jakob J. Verbeek, Nikos A. Vlassis
KDD
2008
ACM
172views Data Mining» more  KDD 2008»
14 years 9 months ago
Structured metric learning for high dimensional problems
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
Jason V. Davis, Inderjit S. Dhillon
CCS
2007
ACM
14 years 27 days ago
Highly efficient techniques for network forensics
Given a history of packet transmissions and an excerpt of a possible packet payload, the payload attribution problem requires the identification of sources, destinations and the t...
Miroslav Ponec, Paul Giura, Hervé Brön...
WWW
2009
ACM
14 years 9 months ago
Automated synthesis of composite services with correctness guarantee
In this paper, we propose a novel approach for composing existing web services to satisfy the correctness constraints to the design, including freeness of deadlock and unspecified...
Ting Deng, Jinpeng Huai, Xianxian Li, Zongxia Du, ...