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KDD
2006
ACM
134views Data Mining» more  KDD 2006»
14 years 8 months ago
Learning to rank networked entities
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
Alekh Agarwal, Soumen Chakrabarti, Sunny Aggarwal
CORR
2010
Springer
73views Education» more  CORR 2010»
13 years 7 months ago
Exponential Family Hybrid Semi-Supervised Learning
We present an approach to semi-supervised learning based on an exponential family characterization. Our approach generalizes previous work on coupled priors for hybrid generative/...
Arvind Agarwal, Hal Daumé III
SIGSOFT
2008
ACM
14 years 8 months ago
Javert: fully automatic mining of general temporal properties from dynamic traces
Program specifications are important for many tasks during software design, development, and maintenance. Among these, temporal specifications are particularly useful. They expres...
Mark Gabel, Zhendong Su
ICML
2010
IEEE
13 years 5 months ago
Implicit Online Learning
Online learning algorithms have recently risen to prominence due to their strong theoretical guarantees and an increasing number of practical applications for large-scale data ana...
Brian Kulis, Peter L. Bartlett
ICIP
2002
IEEE
14 years 9 months ago
Matching pursuits video coding using generalized bit-planes
The Matching Pursuits (MP) coding method has been employed successfully in video coding. In it, the motion compensated frame difference is decomposed on an overcomplete dictionary...
Alexandre G. Ciancio, Eduardo A. B. da Silva, Rog&...