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RECOMB
2007
Springer
16 years 28 days ago
Minimizing and Learning Energy Functions for Side-Chain Prediction
Abstract. Side-chain prediction is an important subproblem of the general protein folding problem. Despite much progress in side-chain prediction, performance is far from satisfact...
Chen Yanover, Ora Schueler-Furman, Yair Weiss
104
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CIARP
2009
Springer
15 years 3 months ago
A Brief Index for Proximity Searching
A large number of computer tasks can be modeled as the search for an object near a given query. From multimedia databases to learning algorithms, data mining and pattern recognitio...
Eric Sadit Tellez, Edgar Chávez, Antonio Ca...
104
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IJVR
2008
111views more  IJVR 2008»
15 years 18 days ago
Improve a Game Board based on Cultural Algorithms
Evolutionary computation is a generic term used to make reference to the solution of computational problems planned and implemented based on models of an evolutionary process. Most...
Alberto Ochoa, Alejandro Padilla, Saúl Gonz...
DIS
2006
Springer
15 years 4 months ago
Optimal Bayesian 2D-Discretization for Variable Ranking in Regression
In supervised machine learning, variable ranking aims at sorting the input variables according to their relevance w.r.t. an output variable. In this paper, we propose a new relevan...
Marc Boullé, Carine Hue
162
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IGARSS
2010
14 years 7 months ago
Calibrating probabilities for hyperspectral classification of rock types
This paper investigates the performance of machine learning methods for classifying rock types from hyperspectral data. The main objective is to test the impact on classification ...
Sildomar T. Monteiro, Richard J. Murphy