AIMC Topic: Support Vector Machine

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A cross-sectional evaluation of meditation experience on electroencephalography data by artificial neural network and support vector machine classifiers.

Medicine Apr 1, 2017
To quantitate the meditation experience is a subjective and complex issue because it is confounded by many factors such as emotional state, method of meditation, and personal physical condition. In this study, we propose a strategy with a cross-secti...
Meditation Cross-Sectional Studies Middle Aged Electroencephalography Image Interpretation, Computer-Assisted Support Vector Machine Artificial Intelligence Aged Adult Humans
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Feature selection using a one dimensional naïve Bayes' classifier increases the accuracy of support vector machine classification of CDR3 repertoires.

Bioinformatics (Oxford, England) Apr 1, 2017
MOTIVATION: Somatic DNA recombination, the hallmark of vertebrate adaptive immunity, has the potential to generate a vast diversity of antigen receptor sequences. How this diversity captures antigen specificity remains incompletely understood. In thi...
Animals Support Vector Machine Databases, Genetic Humans CD4-Positive T-Lymphocytes Complementarity Determining Regions Receptors, Antigen, T-Cell, alpha-beta Mice, Inbred C57BL Bayes Theorem Amino Acids
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Protein subcellular localization prediction using multiple kernel learning based support vector machine.

Molecular bioSystems Mar 28, 2017
Predicting the subcellular locations of proteins can provide useful hints that reveal their functions, increase our understanding of the mechanisms of some diseases, and finally aid in the development of novel drugs. As the number of newly discovered...
Computational Biology Support Vector Machine Proteins Intracellular Space Algorithms Datasets as Topic Reproducibility of Results Protein Transport
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Prediction of acute toxicity of emerging contaminants on the water flea Daphnia magna by Ant Colony Optimization-Support Vector Machine QSTR models.

Environmental science. Processes & impacts Mar 22, 2017
According to the European REACH Directive, the acute toxicity towards Daphnia magna should be assessed for any industrial chemical with a market volume of more than 1 t/a. Therefore, it is highly recommended to determine the toxicity at a certain con...
Daphnia Algorithms Animals Quantitative Structure-Activity Relationship Support Vector Machine Toxicity Tests, Acute Water Pollutants, Chemical Quaternary Ammonium Compounds Surface-Active Agents Models, Theoretical
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An ensemble approach to protein fold classification by integration of template-based assignment and support vector machine classifier.

Bioinformatics (Oxford, England) Mar 15, 2017
MOTIVATION: Protein fold classification is a critical step in protein structure prediction. There are two possible ways to classify protein folds. One is through template-based fold assignment and the other is ab-initio prediction using machine learn...
Computational Biology Support Vector Machine Protein Folding Software Proteins Algorithms
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CellSort: a support vector machine tool for optimizing fluorescence-activated cell sorting and reducing experimental effort.

Bioinformatics (Oxford, England) Mar 15, 2017
MOTIVATION: High throughput screening by fluorescence activated cell sorting (FACS) is a common task in protein engineering and directed evolution. It can also be a rate-limiting step if high false positive or negative rates necessitate multiple roun...
Cell Separation Software Bayes Theorem Flow Cytometry Algorithms Yeasts Support Vector Machine
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RBPPred: predicting RNA-binding proteins from sequence using SVM.

Bioinformatics (Oxford, England) Mar 15, 2017
MOTIVATION: Detection of RNA-binding proteins (RBPs) is essential since the RNA-binding proteins play critical roles in post-transcriptional regulation and have diverse roles in various biological processes. Moreover, identifying RBPs by computationa...
Support Vector Machine RNA Humans Computational Biology RNA-Binding Proteins Software
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ESA-UbiSite: accurate prediction of human ubiquitination sites by identifying a set of effective negatives.

Bioinformatics (Oxford, England) Mar 1, 2017
MOTIVATION: Numerous ubiquitination sites remain undiscovered because of the limitations of mass spectrometry-based methods. Existing prediction methods use randomly selected non-validated sites as non-ubiquitination sites to train ubiquitination sit...
Humans Software Ubiquitination Computational Biology Support Vector Machine
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Using recurrent neural network models for early detection of heart failure onset.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2017
OBJECTIVE: We explored whether use of deep learning to model temporal relations among events in electronic health records (EHRs) would improve model performance in predicting initial diagnosis of heart failure (HF) compared to conventional methods th...
Humans Neural Networks, Computer Machine Learning Support Vector Machine Area Under Curve Heart Failure Electronic Health Records Logistic Models Early Diagnosis
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Reliable bearing fault diagnosis using Bayesian inference-based multi-class support vector machines.

The Journal of the Acoustical Society of America Feb 1, 2017
This letter presents a multi-fault diagnosis scheme for bearings using hybrid features extracted from their acoustic emissions and a Bayesian inference-based one-against-all support vector machine (Bayesian OAASVM) for multi-class classification. The...
Acoustics Motion Materials Testing Time Factors Support Vector Machine Equipment Failure Equipment Failure Analysis Models, Theoretical Bayes Theorem Sound
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