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» Improving on Expectation Propagation
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TMI
2008
66views more  TMI 2008»
13 years 8 months ago
Feature Normalization via Expectation Maximization and Unsupervised Nonparametric Classification For M-FISH Chromosome Images
Multicolor fluorescence in situ hybridization (M-FISH) techniques provide color karyotyping that allows simultaneous analysis of numerical and structural abnormalities of whole hum...
Hyohoon Choi, Alan C. Bovik, Kenneth R. Castleman
MANSCI
2007
88views more  MANSCI 2007»
13 years 8 months ago
Resolving Inconsistencies in Utility Measurement Under Risk: Tests of Generalizations of Expected Utility
This paper explores biases in the elicitation of utilities under risk and the contribution that generalizations of expected utility can make to the resolution of these biases. We ...
Han Bleichrodt, Jose Maria Abellan-Perpiñan...
ICASSP
2008
IEEE
14 years 3 months ago
Decoding real-field codes by an iterative Expectation-Maximization (EM) algorithm
In this paper, a new approach for decoding real-field codes based on finding sparse solutions of underdetermined linear systems is proposed. This algorithm iteratively estimates...
Hadi Zayyani, Massoud Babaie-Zadeh, Christian Jutt...
ICDM
2005
IEEE
128views Data Mining» more  ICDM 2005»
14 years 2 months ago
An Expected Utility Approach to Active Feature-Value Acquisition
In many classification tasks training data have missing feature values that can be acquired at a cost. For building accurate predictive models, acquiring all missing values is of...
Prem Melville, Foster J. Provost, Raymond J. Moone...
NIPS
1997
13 years 10 months ago
Using Expectation to Guide Processing: A Study of Three Real-World Applications
In many real world tasks, only a small fraction of the available inputs are important at any particular time. This paper presents a method for ascertaining the relevance of inputs...
Shumeet Baluja