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» Presenting Data from Experiments in Algorithmics
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ICCV
2011
IEEE
14 years 6 months ago
Perturb-and-MAP Random Fields: Using Discrete Optimization\\to Learn and Sample from Energy Models
We propose a novel way to induce a random field from an energy function on discrete labels. It amounts to locally injecting noise to the energy potentials, followed by finding t...
George Papandreou, Alan L. Yuille
CSCW
2002
ACM
15 years 6 months ago
Voice-mail diary studies for naturalistic data capture under mobile conditions
Mobile technology requires new methods for studying its use under realistic conditions "in the field." Reflexively, mobile technology also creates new opportunities for ...
Leysia Palen, Marilyn C. Salzman
ISOLA
2010
Springer
15 years 5 months ago
A Linked Data Approach to Sharing Workflows and Workflow Results
A bioinformatics analysis pipeline is often highly elaborate, due to the inherent complexity of biological systems and the variety and size of laboratory publications would be high...
Marco Roos, Sean Bechhofer, Jun Zhao, Paolo Missie...
BIBE
2008
IEEE
16 years 1 months ago
VIP: Visualization of integrated proteomics data
—The post-genomic era is characterized by the rapid data accumulation leading to unwieldy and large volumes of biological data. The proteomics results (large sets of identified p...
Eugenia G. Giannopoulou, Giorgos Lepouras, Elias S...
ICML
2007
IEEE
16 years 7 months ago
Learning a meta-level prior for feature relevance from multiple related tasks
In many prediction tasks, selecting relevant features is essential for achieving good generalization performance. Most feature selection algorithms consider all features to be a p...
Su-In Lee, Vassil Chatalbashev, David Vickrey, Dap...