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» Using Prior Knowledge: Problems and Solutions
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131
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TSMC
2008
138views more  TSMC 2008»
15 years 3 months ago
Fast Diagnosis With Sensors of Uncertain Quality
This correspondence presents an approach to the detection and isolation of component failures in large-scale systems. In the case of sensors that report at rates of 1 Hz or less, t...
Ozgur Erdinc, Craig Brideau, Peter Willett, Thiaga...
ML
2002
ACM
220views Machine Learning» more  ML 2002»
15 years 3 months ago
Bayesian Methods for Support Vector Machines: Evidence and Predictive Class Probabilities
I describe a framework for interpreting Support Vector Machines (SVMs) as maximum a posteriori (MAP) solutions to inference problems with Gaussian Process priors. This probabilisti...
Peter Sollich
CVPR
2012
IEEE
13 years 5 months ago
Single image multimaterial estimation
Estimating the reflectance and illumination from a single image becomes particularly challenging when the object surface consists of multiple materials. The key difficulty lies ...
Stephen Lombardi, Ko Nishino
139
Voted
ICTAI
2000
IEEE
15 years 7 months ago
Building efficient partial plans using Markov decision processes
Markov Decision Processes (MDP) have been widely used as a framework for planning under uncertainty. They allow to compute optimal sequences of actions in order to achieve a given...
Pierre Laroche
KDD
2005
ACM
145views Data Mining» more  KDD 2005»
16 years 3 months ago
Using and Learning Semantics in Frequent Subgraph Mining
The search for frequent subgraphs is becoming increasingly important in many application areas including Web mining and bioinformatics. Any use of graph structures in mining, howev...
Bettina Berendt