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» Approximation Algorithms for k-hurdle Problems
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KAIS
2008
150views more  KAIS 2008»
15 years 6 months ago
A survey on algorithms for mining frequent itemsets over data streams
The increasing prominence of data streams arising in a wide range of advanced applications such as fraud detection and trend learning has led to the study of online mining of freq...
James Cheng, Yiping Ke, Wilfred Ng
156
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NIPS
2007
15 years 7 months ago
Selecting Observations against Adversarial Objectives
In many applications, one has to actively select among a set of expensive observations before making an informed decision. Often, we want to select observations which perform well...
Andreas Krause, H. Brendan McMahan, Carlos Guestri...
DCOSS
2009
Springer
16 years 22 days ago
Cheap or Flexible Sensor Coverage
We consider dual classes of geometric coverage problems, in which disks, corresponding to coverage regions of sensors, are used to cover a region or set of points in the plane. The...
Amotz Bar-Noy, Theodore Brown, Matthew P. Johnson,...
AOR
2007
107views more  AOR 2007»
15 years 6 months ago
Job Shop Scheduling with Unit Length Tasks: Bounds and Algorithms
We consider the job shop scheduling problem unit−Jm, where each job is processed once on each of m given machines. Every job consists of a permutation of tasks for all machines....
Juraj Hromkovic, Tobias Mömke, Kathleen Stein...
187
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CORR
2006
Springer
113views Education» more  CORR 2006»
15 years 6 months ago
A Unified View of TD Algorithms; Introducing Full-Gradient TD and Equi-Gradient Descent TD
This paper addresses the issue of policy evaluation in Markov Decision Processes, using linear function approximation. It provides a unified view of algorithms such as TD(), LSTD()...
Manuel Loth, Philippe Preux