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Regression

2013

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Full-Text Articles in Computer Engineering

Optimizing Parallel Belief Propagation In Junction Trees Using Regression, Lu Zheng, Ole J. Mengshoel Jul 2013

Optimizing Parallel Belief Propagation In Junction Trees Using Regression, Lu Zheng, Ole J. Mengshoel

Ole J Mengshoel

The junction tree approach, with applications in artificial intelligence, computer vision, machine learning, and statistics, is often used for computing posterior distributions in probabilistic graphical models. One of the key challenges associated with junction trees is computational, and several parallel computing technologies - including many-core processors - have been investigated to meet this challenge. Many-core processors (including GPUs) are now programmable, unfortunately their complexities make it hard to manually tune their parameters in order to optimize software performance. In this paper, we investigate a machine learning approach to minimize the execution time of parallel junction tree algorithms implemented on a …

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A Comparative Review Of Regression Ensembles On Drug Design Datasets, Mehmet Fati̇h Amasyali, Kadri̇ Okan Ersoy Jan 2013

A Comparative Review Of Regression Ensembles On Drug Design Datasets, Mehmet Fati̇h Amasyali, Kadri̇ Okan Ersoy

Turkish Journal of Electrical Engineering and Computer Sciences

Drug design datasets are usually known as hard-modeled, having a large number of features and a small number of samples. Regression types of problems are common in the drug design area. Committee machines (ensembles) have become popular in machine learning because of their good performance. In this study, the dynamics of ensembles used in regression-related drug design problems are investigated with a drug design dataset collection. The study tries to determine the most successful ensemble algorithm, the base algorithm--ensemble pair having the best/worst results, the best successful single algorithm, and the similarities of algorithms according to their performances. We also …

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