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RECOMB
2005
Springer
14 years 9 months ago
Segmentation Conditional Random Fields (SCRFs): A New Approach for Protein Fold Recognition
Abstract. Protein fold recognition is an important step towards understanding protein three-dimensional structures and their functions. A conditional graphical model, i.e. segmenta...
Yan Liu, Jaime G. Carbonell, Peter Weigele, Vanath...
RECOMB
2007
Springer
14 years 9 months ago
Peptide Retention Time Prediction Yields Improved Tandem Mass Spectrum Identification for Diverse Chromatography Conditions
Most tandem mass spectrum identification algorithms use information only from the final spectrum, ignoring precursor information such as peptide retention time (RT). Efforts to exp...
Aaron A. Klammer, Xianhua Yi, Michael J. MacCoss, ...
ICPR
2000
IEEE
14 years 1 months ago
Nonparametric Markov Random Field Model Analysis of the MeasTex Test Suite
This paper looks at the nonparametric, multiscale, Markov Random Field (MRF) model and its application in classifying the MeasTex Test Suite. The MeasTex Test Suite is a standard ...
Rupert Paget, I. Dennis Longstaff
KBSE
1998
IEEE
14 years 7 days ago
Identifying Pre-Conditions with the Z/EVES Theorem Prover
Starting from a graphical data model (a subset of the OMT object model), a skeleton of formal specification can be generated and completed to express several constraints and provi...
Yves Ledru
AAAI
2008
13 years 11 months ago
CRF-OPT: An Efficient High-Quality Conditional Random Field Solver
Conditional random field (CRF) is a popular graphical model for sequence labeling. The flexibility of CRF poses significant computational challenges for training. Using existing o...
Minmin Chen, Yixin Chen, Michael R. Brent