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SARA
2007
Springer
15 years 3 months ago
Active Learning of Dynamic Bayesian Networks in Markov Decision Processes
Several recent techniques for solving Markov decision processes use dynamic Bayesian networks to compactly represent tasks. The dynamic Bayesian network representation may not be g...
Anders Jonsson, Andrew G. Barto
ICSE
2004
IEEE-ACM
15 years 10 months ago
Using Compressed Bytecode Traces for Slicing Java Programs
Dynamic slicing is a well-known program debugging technique. Given a program P and input I, it finds all program statements which directly/indirectly affect the values of some var...
Tao Wang, Abhik Roychoudhury
ALGOSENSORS
2004
Springer
15 years 3 months ago
Constrained Flow Optimization with Applications to Data Gathering in Sensor Networks
We focus on data gathering problems in energy-constrained wireless sensor networks. We study store-and-gather problems where data are locally stored on the sensors before the data ...
Bo Hong, Viktor K. Prasanna
KDD
2002
ACM
184views Data Mining» more  KDD 2002»
15 years 10 months ago
The Community of Multimedia Agents
Multimedia data mining requires the ability to automatically analyze and understand the content. The Community of Multimedia Agents project is devoted to creating a community of re...
Gang Wei, Valery A. Petrushin, Anatole Gershman
TIP
2008
69views more  TIP 2008»
14 years 9 months ago
An Efficient Phase and Object Estimation Scheme for Phase-Diversity Time Series Data
We present a two-stage method for obtaining both phase and object estimates from phase-diversity time series data. In the first stage, the phases are estimated for each time frame...
Johnathan M. Bardsley