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KDD
2010
ACM
257views Data Mining» more  KDD 2010»
15 years 5 months ago
Multi-task learning for boosting with application to web search ranking
In this paper we propose a novel algorithm for multi-task learning with boosted decision trees. We learn several different learning tasks with a joint model, explicitly addressing...
Olivier Chapelle, Pannagadatta K. Shivaswamy, Srin...
KDD
2007
ACM
189views Data Mining» more  KDD 2007»
16 years 2 months ago
Corroborate and learn facts from the web
The web contains lots of interesting factual information about entities, such as celebrities, movies or products. This paper describes a robust bootstrapping approach to corrobora...
Shubin Zhao, Jonathan Betz
KDD
2002
ACM
171views Data Mining» more  KDD 2002»
16 years 2 months ago
Mining complex models from arbitrarily large databases in constant time
In this paper we propose a scaling-up method that is applicable to essentially any induction algorithm based on discrete search. The result of applying the method to an algorithm ...
Geoff Hulten, Pedro Domingos
99
Voted
HIS
2003
15 years 3 months ago
Data Mining of Web Access Logs From an Academic Web Site
We have used a general purpose data mining tool to determine whether we can find any ‘golden nuggets’ in the web access logs of a large academic web site. Our goal was to use...
Victor Ciesielski, A. Lalani