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» Competitive Online Approximation of the Optimal Search Ratio
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JMLR
2010
149views more  JMLR 2010»
13 years 2 months ago
Learning Bayesian Network Structure using LP Relaxations
We propose to solve the combinatorial problem of finding the highest scoring Bayesian network structure from data. This structure learning problem can be viewed as an inference pr...
Tommi Jaakkola, David Sontag, Amir Globerson, Mari...
GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
14 years 1 months ago
SDR: a better trigger for adaptive variance scaling in normal EDAs
Recently, advances have been made in continuous, normal– distribution–based Estimation–of–Distribution Algorithms (EDAs) by scaling the variance up from the maximum–like...
Peter A. N. Bosman, Jörn Grahl, Franz Rothlau...
SODA
2010
ACM
201views Algorithms» more  SODA 2010»
14 years 5 months ago
Incentive Compatible Budget Elicitation in Multi-unit Auctions
In this paper, we consider the problem of designing incentive compatible auctions for multiple (homogeneous) units of a good, when bidders have private valuations and private budg...
Sayan Bhattacharya, Vincent Conitzer, Kamesh Munag...
ICDE
2010
IEEE
295views Database» more  ICDE 2010»
14 years 2 months ago
K nearest neighbor queries and kNN-Joins in large relational databases (almost) for free
— Finding the k nearest neighbors (kNN) of a query point, or a set of query points (kNN-Join) are fundamental problems in many application domains. Many previous efforts to solve...
Bin Yao, Feifei Li, Piyush Kumar
STOC
2005
ACM
129views Algorithms» more  STOC 2005»
14 years 8 months ago
Learning with attribute costs
We study an extension of the "standard" learning models to settings where observing the value of an attribute has an associated cost (which might be different for differ...
Haim Kaplan, Eyal Kushilevitz, Yishay Mansour