AIMC Topic: Support Vector Machine

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Object Detection Applied to Indoor Environments for Mobile Robot Navigation.

Sensors (Basel, Switzerland) Jul 28, 2016
To move around the environment, human beings depend on sight more than their other senses, because it provides information about the size, shape, color and position of an object. The increasing interest in building autonomous mobile systems makes the...
Artificial Intelligence Algorithms Support Vector Machine Pattern Recognition, Automated Robotics Color Humans
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Accuracy of land use change detection using support vector machine and maximum likelihood techniques for open-cast coal mining areas.

Environmental monitoring and assessment Jul 27, 2016
One objective of the present study was to evaluate the performance of support vector machine (SVM)-based image classification technique with the maximum likelihood classification (MLC) technique for a rapidly changing landscape of an open-cast mine. ...
Probability Conservation of Natural Resources Coal Mining India Environmental Monitoring Support Vector Machine Humans
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Accuracy of automated classification of major depressive disorder as a function of symptom severity.

NeuroImage. Clinical Jul 27, 2016
BACKGROUND: Growing evidence documents the potential of machine learning for developing brain based diagnostic methods for major depressive disorder (MDD). As symptom severity may influence brain activity, we investigated whether the severity of MDD ...
Female Male Image Interpretation, Computer-Assisted Adult Humans Magnetic Resonance Imaging Depressive Disorder, Major Brain Mapping Severity of Illness Index Sensitivity and Specificity Psychiatric Status Rating Scales Algorithms Support Vector Machine Brain
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Making use of longitudinal information in pattern recognition.

Human brain mapping Jul 25, 2016
Longitudinal designs are widely used in medical studies as a means of observing within-subject changes over time in groups of subjects, thereby aiming to improve sensitivity for detecting disease effects. Paralleling an increased use of such studies ...
Support Vector Machine Longitudinal Studies Follow-Up Studies Middle Aged Cognitive Dysfunction Dementia Linear Models Pattern Recognition, Automated Neuroimaging Magnetic Resonance Imaging Principal Component Analysis Image Interpretation, Computer-Assisted Humans Prospective Studies Brain Sensitivity and Specificity Cross-Sectional Studies Aged Aged, 80 and over
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Connectivity of the anterior insula differentiates participants with first-episode schizophrenia spectrum disorders from controls: a machine-learning study.

Psychological medicine Jul 25, 2016
BACKGROUND: Early diagnosis of schizophrenia could improve the outcomes and limit the negative effects of untreated illness. Although participants with schizophrenia show aberrant functional connectivity in brain networks, these between-group differe...
Humans Schizophrenia Cerebral Cortex Connectome Male Support Vector Machine Magnetic Resonance Imaging Female Young Adult Adult
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Protein-protein interaction network construction for cancer using a new L1/2-penalized Net-SVM model.

Genetics and molecular research : GMR Jul 25, 2016
Identifying biomarker genes and characterizing interaction pathways with high-dimensional and low-sample size microarray data is a major challenge in computational biology. In this field, the construction of protein-protein interaction (PPI) networks...
Humans Algorithms Neoplasms Gene Regulatory Networks Computational Biology Gene Expression Profiling Oligonucleotide Array Sequence Analysis Protein Interaction Maps Support Vector Machine Protein Interaction Domains and Motifs Genetic Markers Models, Biological
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Independent Component Analysis-Support Vector Machine-Based Computer-Aided Diagnosis System for Alzheimer's with Visual Support.

International journal of neural systems Jul 22, 2016
Computer-aided diagnosis (CAD) systems constitute a powerful tool for early diagnosis of Alzheimer's disease (AD), but limitations on interpretability and performance exist. In this work, a fully automatic CAD system based on supervised learning meth...
Alzheimer Disease Image Interpretation, Computer-Assisted Female Mental Status Schedule Aged Cognitive Dysfunction Sensitivity and Specificity Humans Male Support Vector Machine Algorithms Magnetic Resonance Imaging Brain
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Knodle: A Support Vector Machines-Based Automatic Perception of Organic Molecules from 3D Coordinates.

Journal of chemical information and modeling Jul 21, 2016
Here we address the problem of the assignment of atom types and bond orders in low molecular weight compounds. For this purpose, we have developed a prediction model based on nonlinear Support Vector Machines (SVM), implemented in a KNOwledge-Driven ...
Informatics Organic Chemicals Software Ligands Support Vector Machine Algorithms Molecular Weight Automation
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In Silico Calculation of Infinite Dilution Activity Coefficients of Molecular Solutes in Ionic Liquids: Critical Review of Current Methods and New Models Based on Three Machine Learning Algorithms.

Journal of chemical information and modeling Jul 20, 2016
The aim of the paper is to address all the disadvantages of currently available models for calculating infinite dilution activity coefficients (γ(∞)) of molecular solutes in ionic liquids (ILs)-a relevant property from the point of view of many appli...
Neural Networks, Computer Machine Learning Ionic Liquids Linear Models Molecular Conformation Solutions Computer Simulation Support Vector Machine Models, Molecular
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A Novel RSSI Prediction Using Imperialist Competition Algorithm (ICA), Radial Basis Function (RBF) and Firefly Algorithm (FFA) in Wireless Networks.

PloS one Jul 20, 2016
This study aims to design a vertical handover prediction method to minimize unnecessary handovers for a mobile node (MN) during the vertical handover process. This relies on a novel method for the prediction of a received signal strength indicator (R...
Models, Theoretical Support Vector Machine Wireless Technology Neural Networks, Computer Algorithms
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