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JAIR
2000
152views more  JAIR 2000»
15 years 6 months ago
Value-Function Approximations for Partially Observable Markov Decision Processes
Partially observable Markov decision processes (POMDPs) provide an elegant mathematical framework for modeling complex decision and planning problems in stochastic domains in whic...
Milos Hauskrecht
PUC
2002
82views more  PUC 2002»
15 years 6 months ago
A Location Model for Communicating and Processing of Context
Location is one of the most important elements of context in ubiquitous computing. In this paper we describe a location model, a spatial-aware communication model and an implement...
Michael Beigl, Tobias Zimmer, Christian Decker
DMIN
2009
142views Data Mining» more  DMIN 2009»
15 years 4 months ago
Action Selection in Customer Value Optimization: An Approach Based on Covariate-Dependent Markov Decision Processes
Typical methods in CRM marketing include action selection on the basis of Markov Decision Processes with fixed transition probabilities on the one hand, and scoring customers separ...
Angi Roesch, Harald Schmidbauer
DPHOTO
2009
131views Hardware» more  DPHOTO 2009»
15 years 4 months ago
Interaction of image noise, spatial resolution, and low contrast fine detail preservation in digital image processing
We present a method to improve the validity of noise and resolution measurements on digital cameras. If non-linear adaptive noise reduction is part of the signal processing in the...
Uwe Artmann, Dietmar Wueller
TSP
2011
96views more  TSP 2011»
15 years 1 months ago
A Signal Processing Approach to Fourier Analysis of Ranking Data: The Importance of Phase
—Ranking data is a type of data obtained in some elections, in customer surveys, as well as from web search results. Such data may be considered as a type of signal defined on t...
Ramakrishna Kakarala