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INFOCOM
2012
IEEE
13 years 9 months ago
Approximately optimal adaptive learning in opportunistic spectrum access
—In this paper we develop an adaptive learning algorithm which is approximately optimal for an opportunistic spectrum access (OSA) problem with polynomial complexity. In this OSA...
Cem Tekin, Mingyan Liu
INFOCOM
2012
IEEE
13 years 9 months ago
On the construction of data aggregation tree with minimum energy cost in wireless sensor networks: NP-completeness and approxima
—In many applications, it is a basic operation for the sink to periodically collect reports from all sensors. Since the data gathering process usually proceeds for many rounds, i...
Tung-Wei Kuo, Ming-Jer Tsai
STOC
2005
ACM
146views Algorithms» more  STOC 2005»
16 years 7 months ago
Approximation algorithms for combinatorial auctions with complement-free bidders
We exhibit three approximation algorithms for the allocation problem in combinatorial auctions with complement free bidders. The running time of these algorithms is polynomial in ...
Shahar Dobzinski, Noam Nisan, Michael Schapira
COMPGEOM
2007
ACM
15 years 10 months ago
Bi-criteria linear-time approximations for generalized k-mean/median/center
We consider the problem of approximating a set P of n points in Rd by a collection of j-dimensional flats, and extensions thereof, under the standard median / mean / center measur...
Dan Feldman, Amos Fiat, Micha Sharir, Danny Segev
ICANN
2007
Springer
15 years 10 months ago
Resilient Approximation of Kernel Classifiers
Abstract. Trained support vector machines (SVMs) have a slow runtime classification speed if the classification problem is noisy and the sample data set is large. Approximating the...
Thorsten Suttorp, Christian Igel