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» Optimizing Complex Loss Functions in Structured Prediction
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GECCO
2008
Springer
164views Optimization» more  GECCO 2008»
13 years 8 months ago
Genetic algorithms with local search optimization for protein structure prediction problem
This paper presents a new Genetic Algorithm for Protein Structure Prediction problem in both 2D and 3D hydrophobichydrophilic lattice models, introduced in [1]. Our algorithm evol...
Igor Berenboym, Mireille Avigal
CLUSTER
2006
IEEE
13 years 7 months ago
Optimizing MPI collective communication by orthogonal structures
Many parallel applications from scientific computing use MPI collective communication operations to collect or distribute data. Since the execution times of these communication op...
Matthias Kühnemann, Thomas Rauber, Gudula R&u...
NIPS
2007
13 years 9 months ago
A General Boosting Method and its Application to Learning Ranking Functions for Web Search
We present a general boosting method extending functional gradient boosting to optimize complex loss functions that are encountered in many machine learning problems. Our approach...
Zhaohui Zheng, Hongyuan Zha, Tong Zhang, Olivier C...
ICML
2009
IEEE
14 years 8 months ago
A Bayesian approach to protein model quality assessment
Given multiple possible models b1, b2, . . . bn for a protein structure, a common sub-task in in-silico Protein Structure Prediction is ranking these models according to their qua...
Hetunandan Kamisetty, Christopher James Langmead
ESTIMEDIA
2006
Springer
13 years 11 months ago
Loop Nest Splitting for WCET-Optimization and Predictability Improvement
This paper presents the influence of the loop nest splitting source code optimization on the worst-case execution time (WCET). Loop nest splitting minimizes the number of executed...
Heiko Falk, Martin Schwarzer