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AAAI
1996
13 years 8 months ago
Sequential Inductive Learning
This article advocates a new model for inductive learning. Called sequential induction, it helps bridge classical fixed-sample learning techniques (which are efficient but difficu...
Jonathan Gratch
SIGIR
1999
ACM
13 years 11 months ago
Information Retrieval as Statistical Translation
We propose a new probabilistic approach to information retrieval based upon the ideas and methods of statistical machine translation. The central ingredient in this approach is a ...
Adam L. Berger, John D. Lafferty
DASFAA
2007
IEEE
221views Database» more  DASFAA 2007»
14 years 1 months ago
TwigList : Make Twig Pattern Matching Fast
Twig pattern matching problem has been widely studied in recent years. Give an XML tree T . A twig-pattern matching query, Q, represented as a query tree, is to find all the occur...
Lu Qin, Jeffrey Xu Yu, Bolin Ding
ECCC
2010
124views more  ECCC 2010»
13 years 7 months ago
Lower Bounds and Hardness Amplification for Learning Shallow Monotone Formulas
Much work has been done on learning various classes of "simple" monotone functions under the uniform distribution. In this paper we give the first unconditional lower bo...
Vitaly Feldman, Homin K. Lee, Rocco A. Servedio
CVPR
1999
IEEE
14 years 9 months ago
Statistical Color Models with Application to Skin Detection
The existence of large image datasets such as the set of photos on the World Wide Web make it possible to build powerful generic models for low-level image attributes like color u...
Michael J. Jones, James M. Rehg