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101
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KDD
2007
ACM
159views Data Mining» more  KDD 2007»
16 years 23 days ago
Constraint-driven clustering
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
Rong Ge, Martin Ester, Wen Jin, Ian Davidson
INFOCOM
1999
IEEE
15 years 4 months ago
Key Management for Secure Internet Multicast Using Boolean Function Minimization Techniques
Abstract-The Internet today provides no support for privacy or authentication of multicast packets. However,an increasing number of applications will require secure multicast servi...
Isabella Chang, Robert Engel, Dilip D. Kandlur, Di...
UAI
2008
15 years 1 months ago
Dyna-Style Planning with Linear Function Approximation and Prioritized Sweeping
We consider the problem of efficiently learning optimal control policies and value functions over large state spaces in an online setting in which estimates must be available afte...
Richard S. Sutton, Csaba Szepesvári, Alborz...
192
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SIGMOD
2009
ACM
198views Database» more  SIGMOD 2009»
16 years 18 days ago
Monitoring path nearest neighbor in road networks
This paper addresses the problem of monitoring the k nearest neighbors to a dynamically changing path in road networks. Given a destination where a user is going to, this new quer...
Zaiben Chen, Heng Tao Shen, Xiaofang Zhou, Jeffrey...
BIBE
2008
IEEE
142views Bioinformatics» more  BIBE 2008»
15 years 6 months ago
Optimizing performance, cost, and sensitivity in pairwise sequence search on a cluster of PlayStations
— The Smith-Waterman algorithm is a dynamic programming method for determining optimal local alignments between nucleotide or protein sequences. However, it suffers from quadrati...
Ashwin M. Aji, Wu-chun Feng