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» Probabilistic topic modeling for genomic data interpretation
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AIME
2009
Springer
15 years 4 months ago
Causal Probabilistic Modelling for Two-View Mammographic Analysis
Abstract. Mammographic analysis is a difficult task due to the complexity of image interpretation. This results in diagnostic uncertainty, thus provoking the need for assistance by...
Marina Velikova, Maurice Samulski, Peter J. F. Luc...
ITC
1998
IEEE
94views Hardware» more  ITC 1998»
15 years 1 months ago
Probabilistic mixed-model fault diagnosis
Previously-proposed strategies for VLSI fault diagnosis have su ered from a variety of self-imposed limitations. Some techniques are limited to a speci c fault model, and many wil...
David B. Lavo, Brian Chess, Tracy Larrabee, Ismed ...
KDD
2005
ACM
149views Data Mining» more  KDD 2005»
15 years 3 months ago
A distributed learning framework for heterogeneous data sources
We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...
Srujana Merugu, Joydeep Ghosh
ISBI
2004
IEEE
15 years 10 months ago
Probabilistic ICA for fMRI
Independent Component Analysis is becoming a popular exploratory method for analysing complex data such as that from FMRI experiments. The application of such `model-free' me...
Christian Beckmann
NN
2006
Springer
14 years 9 months ago
Missing data imputation through GTM as a mixture of t-distributions
The Generative Topographic Mapping (GTM) was originally conceived as a probabilistic alternative to the well-known, neural networkinspired, Self-Organizing Maps. The GTM can also ...
Alfredo Vellido