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TALG
2010
158views more  TALG 2010»
15 years 1 months ago
Clustering for metric and nonmetric distance measures
We study a generalization of the k-median problem with respect to an arbitrary dissimilarity measure D. Given a finite set P of size n, our goal is to find a set C of size k such t...
Marcel R. Ackermann, Johannes Blömer, Christi...
AAMAS
2011
Springer
15 years 1 months ago
Aggregating value ranges: preference elicitation and truthfulness
We study the case where agents have preferences over ranges (intervals) of values, and we wish to elicit and aggregate these preferences. For example, consider a set of climatologi...
Joseph Farfel, Vincent Conitzer
BMCBI
2011
14 years 10 months ago
To aggregate or not to aggregate high-dimensional classifiers
Background: High-throughput functional genomics technologies generate large amount of data with hundreds or thousands of measurements per sample. The number of sample is usually m...
Cheng-Jian Xu, Huub C. J. Hoefsloot, Age K. Smilde
CORR
2011
Springer
178views Education» more  CORR 2011»
14 years 10 months ago
Online Learning: Stochastic and Constrained Adversaries
Learning theory has largely focused on two main learning scenarios. The first is the classical statistical setting where instances are drawn i.i.d. from a fixed distribution and...
Alexander Rakhlin, Karthik Sridharan, Ambuj Tewari
INFOCOM
2011
IEEE
14 years 10 months ago
Secure and practical outsourcing of linear programming in cloud computing
—Cloud Computing has great potential of providing robust computational power to the society at reduced cost. It enables customers with limited computational resources to outsourc...
Cong Wang, Kui Ren, Jia Wang