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APVIS
2006
13 years 10 months ago
Predicting graph reading performance: a cognitive approach
Performance and preference measures are commonly used in the assessment of visualization techniques. This is important and useful in understanding differences in effectiveness bet...
Weidong Huang, Seok-Hee Hong, Peter Eades
BMCBI
2005
87views more  BMCBI 2005»
13 years 9 months ago
Efficient decoding algorithms for generalized hidden Markov model gene finders
Background: The Generalized Hidden Markov Model (GHMM) has proven a useful framework for the task of computational gene prediction in eukaryotic genomes, due to its flexibility an...
William H. Majoros, Mihaela Pertea, Arthur L. Delc...
BMCBI
2008
118views more  BMCBI 2008»
13 years 9 months ago
MetWAMer: eukaryotic translation initiation site prediction
Background: Translation initiation site (TIS) identification is an important aspect of the gene annotation process, requisite for the accurate delineation of protein sequences fro...
Michael E. Sparks, Volker Brendel
BIB
2011
13 years 21 days ago
Using cross-validation to evaluate predictive accuracy of survival risk classifiers based on high-dimensional data
Developments in whole genome biotechnology have stimulated statistical focus on prediction methods. We review here methodology for classifying patients into survival risk groups a...
Richard M. Simon, Jyothi Subramanian, Ming-Chung L...
JMLR
2012
11 years 11 months ago
Max-Margin Min-Entropy Models
We propose a new family of latent variable models called max-margin min-entropy (m3e) models, which define a distribution over the output and the hidden variables conditioned on ...
Kevin Miller, M. Pawan Kumar, Benjamin Packer, Dan...