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124
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KDD
2002
ACM
140views Data Mining» more  KDD 2002»
16 years 4 months ago
Mining frequent item sets by opportunistic projection
In this paper, we present a novel algorithm OpportuneProject for mining complete set of frequent item sets by projecting databases to grow a frequent item set tree. Our algorithm ...
Junqiang Liu, Yunhe Pan, Ke Wang, Jiawei Han
126
Voted
SIGIR
2009
ACM
15 years 10 months ago
Click-through prediction for news queries
A growing trend in commercial search engines is the display of specialized content such as news, products, etc. interleaved with web search results. Ideally, this content should b...
Arnd Christian König, Michael Gamon, Qiang Wu
116
Voted
ICRA
2008
IEEE
157views Robotics» more  ICRA 2008»
15 years 10 months ago
Impact of workspace decompositions on discrete search leading continuous exploration (DSLX) motion planning
Abstract— We have recently proposed DSLX, a motion planner that significantly reduces the computational time for solving challenging kinodynamic problems by interleaving continu...
Erion Plaku, Lydia E. Kavraki, Moshe Y. Vardi
123
Voted
ICALP
2003
Springer
15 years 9 months ago
Quantum Search on Bounded-Error Inputs
Suppose we have n algorithms, quantum or classical, each computing some bit-value with bounded error probability. We describe a quantum algorithm that uses O( √ n) repetitions of...
Peter Høyer, Michele Mosca, Ronald de Wolf
142
Voted
CIKM
2011
Springer
14 years 3 months ago
A probabilistic method for inferring preferences from clicks
Evaluating rankers using implicit feedback, such as clicks on documents in a result list, is an increasingly popular alternative to traditional evaluation methods based on explici...
Katja Hofmann, Shimon Whiteson, Maarten de Rijke