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» Experimental perspectives on learning from imbalanced data
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DISCEX
2003
IEEE
14 years 1 months ago
Lessons Learned in Using Live Red Teams in IA Experiments
The DARPA Information Assurance (IA) and Operational Partners in Experimentation (OPX) Programs have conducted over a dozen laboratory-based experiments involving live red teams s...
David Levin
ICML
2010
IEEE
13 years 8 months ago
Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design
Many applications require optimizing an unknown, noisy function that is expensive to evaluate. We formalize this task as a multiarmed bandit problem, where the payoff function is ...
Niranjan Srinivas, Andreas Krause, Sham Kakade, Ma...
BMCBI
2010
143views more  BMCBI 2010»
13 years 7 months ago
Learning gene regulatory networks from only positive and unlabeled data
Background: Recently, supervised learning methods have been exploited to reconstruct gene regulatory networks from gene expression data. The reconstruction of a network is modeled...
Luigi Cerulo, Charles Elkan, Michele Ceccarelli
CIKM
2008
Springer
13 years 9 months ago
Learning latent semantic relations from clickthrough data for query suggestion
For a given query raised by a specific user, the Query Suggestion technique aims to recommend relevant queries which potentially suit the information needs of that user. Due to th...
Hao Ma, Haixuan Yang, Irwin King, Michael R. Lyu
ICCV
2011
IEEE
12 years 7 months ago
Self-Calibrating Depth from Refraction
In this paper, we introduce a novel method for depth acquisition based on refraction of light. A scene is captured twice by a fixed perspective camera, with the first image capt...
Zhihu Chen, Kwan-Yee Wong, Yasuyuki Matsushita, Xi...