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» Randomized Optimum Models for Structured Prediction
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JMLR
2012
11 years 7 months ago
Randomized Optimum Models for Structured Prediction
One approach to modeling structured discrete data is to describe the probability of states via an energy function and Gibbs distribution. A recurring difficulty in these models is...
Daniel Tarlow, Ryan Prescott Adams, Richard S. Zem...
IJON
2010
199views more  IJON 2010»
13 years 2 months ago
DFS-generated pathways in GA crossover for protein structure prediction
Genetic Algorithms (GAs), as nondeterministic conformational search techniques, are promising for solving protein structure prediction (PSP) problems. The crossover operator of a ...
Tamjidul Hoque, Madhu Chetty, Andrew Lewis, Abdul ...
PPSC
1997
13 years 6 months ago
Case Studies in Protein Structure Prediction with Real-valued Genetic Algorithms
Accurate and reliable protein structure prediction (PSP) eludes researchers primarily becausethe searchfor theminimumenergyconformeris computationallyintractable. This research di...
Charles E. Kaiser, Laurence D. Merkle, Gary B. Lam...
CORR
2010
Springer
130views Education» more  CORR 2010»
13 years 5 months ago
Approximated Structured Prediction for Learning Large Scale Graphical Models
In this paper we propose an approximated structured prediction framework for large scale graphical models and derive message-passing algorithms for learning their parameters effic...
Tamir Hazan, Raquel Urtasun
CEC
2009
IEEE
13 years 11 months ago
Evolutionary design of the energy function for protein structure prediction
— Automatic protein structure predictors use the notion of energy to guide the search towards good candidate structures. The energy functions used by the state-of-the-art predict...
Pawel Widera, Jonathan M. Garibaldi, Natalio Krasn...