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TSP
2008
101views more  TSP 2008»
13 years 8 months ago
Bayesian Compressive Sensing
The data of interest are assumed to be represented as N-dimensional real vectors, and these vectors are compressible in some linear basis B, implying that the signal can be recons...
Shihao Ji, Ya Xue, Lawrence Carin
ICSE
2009
IEEE-ACM
14 years 3 months ago
Using Bayesian statistical methods to determine the level of error in large spreadsheets
Spreadsheets are ubiquitous with evidence that Microsoft Excel, the leading application in the area, has an install base of 90% on end-user desktops. Nowhere is the usage of sprea...
Leslie Bradley, Kevin McDaid
IJCAI
1993
13 years 10 months ago
Reducing Ambiguity by Learning Assembly Specific Behaviour
In this paper we present a technique for automatically generating constraints on parameter derivatives that reduce ambiguity in the behaviour prediction. Starting with a behaviour...
Bert Bredeweg, Cis Schut
ECCV
2004
Springer
14 years 11 months ago
Decision Theoretic Modeling of Human Facial Displays
We present a vision based, adaptive, decision theoretic model of human facial displays in interactions. The model is a partially observable Markov decision process, or POMDP. A POM...
Jesse Hoey, James J. Little
GI
1998
Springer
14 years 1 months ago
Self-Organizing Data Mining
"KnowledgeMiner" was designed to support the knowledge extraction process on a highly automated level. Implemented are 3 different GMDH-type self-organizing modeling algo...
Frank Lemke, Johann-Adolf Müller