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» On learning in agent-centered search
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ACL
2009
13 years 5 months ago
Learning Semantic Categories from Clickthrough Logs
As the web grows larger, knowledge acquisition from the web has gained increasing attention. In this paper, we propose using web search clickthrough logs to learn semantic categor...
Mamoru Komachi, Shimpei Makimoto, Kei Uchiumi, Man...
IJCAI
1993
13 years 8 months ago
An Inductive Approach to Learning Search Control Rules for Planning
One method for reducing the time required for plan generation is to learn search control rules from experience. Most of the recent work in learning search control knowledge has co...
Christopher Leckie, Ingrid Zukerman
ECML
2004
Springer
14 years 24 days ago
Adaptive Online Time Allocation to Search Algorithms
Matteo Gagliolo, Viktor Zhumatiy, Jürgen Schm...
KDD
2010
ACM
257views Data Mining» more  KDD 2010»
13 years 11 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...
CIVR
2006
Springer
181views Image Analysis» more  CIVR 2006»
13 years 11 months ago
Image Searching and Browsing by Active Aspect-Based Relevance Learning
Aspect-based relevance learning is a relevance feedback scheme based on a natural model of relevance in terms of image aspects. In this paper we propose a number of active learning...
Mark J. Huiskes