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» Efficient Algorithms for Online Decision Problems
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KDD
2009
ACM
217views Data Mining» more  KDD 2009»
14 years 10 months ago
Efficient anomaly monitoring over moving object trajectory streams
Lately there exist increasing demands for online abnormality monitoring over trajectory streams, which are obtained from moving object tracking devices. This problem is challengin...
Yingyi Bu, Lei Chen 0002, Ada Wai-Chee Fu, Dawei L...
ICPR
2008
IEEE
14 years 11 months ago
A discrete-time parallel update algorithm for distributed learning
We present a distributed machine learning framework based on support vector machines that allows classification problems to be solved iteratively through parallel update algorithm...
Christian Bauckhage, Tansu Alpcan
DAC
2003
ACM
14 years 11 months ago
Extending the lifetime of a network of battery-powered mobile devices by remote processing: a markovian decision-based approach
This paper addresses the problem of extending the lifetime of a batterypowered mobile host in a client-server wireless network by using task migration and remote processing. This ...
Peng Rong, Massoud Pedram
DAC
1999
ACM
14 years 11 months ago
Soft Scheduling in High Level Synthesis
In this paper, we establish a theoretical framework for a new concept of scheduling called soft scheduling. In contrasts to the traditional schedulers referred as hard schedulers,...
Jianwen Zhu, Daniel Gajski
CORR
2010
Springer
106views Education» more  CORR 2010»
13 years 10 months ago
MDPs with Unawareness
Markov decision processes (MDPs) are widely used for modeling decision-making problems in robotics, automated control, and economics. Traditional MDPs assume that the decision mak...
Joseph Y. Halpern, Nan Rong, Ashutosh Saxena