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» Markov Models for Biogeography-Based Optimization
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KDD
2005
ACM
160views Data Mining» more  KDD 2005»
14 years 10 months ago
Optimizing time series discretization for knowledge discovery
Knowledge Discovery in time series usually requires symbolic time series. Many discretization methods that convert numeric time series to symbolic time series ignore the temporal ...
Alfred Ultsch, Fabian Mörchen
CORR
2008
Springer
103views Education» more  CORR 2008»
13 years 10 months ago
Quickest Change Detection of a Markov Process Across a Sensor Array
Recent attention in quickest change detection in the multi-sensor setting has been on the case where the densities of the observations change at the same instant at all the sensor...
Vasanthan Raghavan, Venugopal V. Veeravalli
CDC
2009
IEEE
132views Control Systems» more  CDC 2009»
14 years 2 months ago
Q-learning and Pontryagin's Minimum Principle
Abstract— Q-learning is a technique used to compute an optimal policy for a controlled Markov chain based on observations of the system controlled using a non-optimal policy. It ...
Prashant G. Mehta, Sean P. Meyn
ISSS
1999
IEEE
121views Hardware» more  ISSS 1999»
14 years 2 months ago
Event-Driven Power Management of Portable Systems
The policy optimization problem for dynamic power management has received considerable attention in the recent past. We formulate policy optimization as a constrained optimization...
Tajana Simunic, Giovanni De Micheli, Luca Benini
GLOBECOM
2007
IEEE
14 years 4 months ago
Cognitive Medium Access: A Protocol for Enhancing Coexistence in WLAN Bands
— In this paper we propose Cognitive Medium Access (CMA), a protocol aimed at improving coexistence with a set of independently evolving WLAN bands. A time-slotted physical layer...
Stefan Geirhofer, Lang Tong, Brian M. Sadler