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ICML
2008
IEEE
14 years 5 months ago
Boosting with incomplete information
In real-world machine learning problems, it is very common that part of the input feature vector is incomplete: either not available, missing, or corrupted. In this paper, we pres...
Feng Jiao, Gholamreza Haffari, Greg Mori, Shaojun ...
ALT
2006
Springer
14 years 1 months ago
Smooth Boosting Using an Information-Based Criterion
Abstract. Smooth boosting algorithms are variants of boosting methods which handle only smooth distributions on the data. They are proved to be noise-tolerant and can be used in th...
Kohei Hatano
GIS
2010
ACM
13 years 3 months ago
Location disambiguation in local searches using gradient boosted decision trees
Local search is a specialization of the web search that allows users to submit geographically constrained queries. However, one of the challenges for local search engines is to un...
Ritesh Agrawal, James G. Shanahan
PODS
2001
ACM
109views Database» more  PODS 2001»
14 years 4 months ago
Representing and Querying XML with Incomplete Information
Serge Abiteboul, Luc Segoufin, Victor Vianu
RSKT
2007
Springer
13 years 10 months ago
Absolute Contrasts in Face Detection with AdaBoost Cascade
Abstract. Object detection using AdaBoost cascade classifier was in
Marcin Wojnarski