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» Learning from Logged Implicit Exploration Data
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77
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CACM
2010
105views more  CACM 2010»
15 years 21 days ago
Censored exploration and the dark pool problem
We introduce and analyze a natural algorithm for multi-venue exploration from censored data, which is motivated by the Dark Pool Problem of modern quantitative finance. We prove t...
Kuzman Ganchev, Yuriy Nevmyvaka, Michael Kearns, J...
126
Voted
WWW
2006
ACM
16 years 1 months ago
Time-dependent semantic similarity measure of queries using historical click-through data
It has become a promising direction to measure similarity of Web search queries by mining the increasing amount of clickthrough data logged by Web search engines, which record the...
Qiankun Zhao, Steven C. H. Hoi, Tie-Yan Liu, Soura...
CVPR
2012
IEEE
13 years 3 months ago
Learning rotation-aware features: From invariant priors to equivariant descriptors
Identifying suitable image features is a central challenge in computer vision, ranging from representations for lowlevel to high-level vision. Due to the difficulty of this task,...
Uwe Schmidt, Stefan Roth
89
Voted
ITICSE
2009
ACM
15 years 7 months ago
Relating research and teaching: learning from experiences and beliefs
The relationship between research and teaching has possible benefits and inherent tensions. Exploring the potentially beneficial relationship is of interest and possible value to ...
Su White, Alastair Irons
92
Voted
BMCBI
2008
93views more  BMCBI 2008»
15 years 21 days ago
Hybrid MM/SVM structural sensors for stochastic sequential data
In this paper we present preliminary results stemming from a novel application of Markov Models and Support Vector Machines to splice site classification of Intron-Exon and Exon-I...
Brian Roux, Stephen Winters-Hilt