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ICPR
2004
IEEE
16 years 3 months ago
Relaxation Labeling Processes for Protein Secondary Structure Prediction
The prediction of protein secondary structure is a classical problem in bioinformatics, and in the past few years several machine learning techniques have been proposed to t. From...
Giacomo Colle, Marcello Pelillo
ICML
2007
IEEE
16 years 2 months ago
Exponentiated gradient algorithms for log-linear structured prediction
Conditional log-linear models are a commonly used method for structured prediction. Efficient learning of parameters in these models is therefore an important problem. This paper ...
Amir Globerson, Terry Koo, Xavier Carreras, Michae...
ICML
2008
IEEE
16 years 2 months ago
Predicting diverse subsets using structural SVMs
In many retrieval tasks, one important goal involves retrieving a diverse set of results (e.g., documents covering a wide range of topics for a search query). First of all, this r...
Yisong Yue, Thorsten Joachims
ICML
2004
IEEE
16 years 2 months ago
A graphical model for protein secondary structure prediction
In this paper, we present a graphical model for protein secondary structure prediction. This model extends segmental semi-Markov models (SSMM) to exploit multiple sequence alignme...
Wei Chu, Zoubin Ghahramani, David L. Wild
ASAP
2008
IEEE
186views Hardware» more  ASAP 2008»
15 years 8 months ago
Accelerating Nussinov RNA secondary structure prediction with systolic arrays on FPGAs
RNA structure prediction, or folding, is a computeintensive task that lies at the core of several search applications in bioinformatics. We begin to address the need for high-thro...
Arpith C. Jacob, Jeremy Buhler, Roger D. Chamberla...