AIMC Topic: Support Vector Machine

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Kernel methods and their derivatives: Concept and perspectives for the earth system sciences.

PloS one Oct 29, 2020
Kernel methods are powerful machine learning techniques which use generic non-linear functions to solve complex tasks. They have a solid mathematical foundation and exhibit excellent performance in practice. However, kernel machines are still conside...
Humans Machine Learning Computer Simulation Entropy Support Vector Machine Earth Sciences Normal Distribution
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Trabeculae microstructure parameters serve as effective predictors for marginal bone loss of dental implant in the mandible.

Scientific reports Oct 28, 2020
Marginal bone loss (MBL) is one of the leading causes of dental implant failure. This study aimed to investigate the feasibility of machine learning (ML) algorithms based on trabeculae microstructure parameters to predict the occurrence of severe MBL...
Cancellous Bone Bone Resorption Male Case-Control Studies Mandible Dental Implants Prosthesis Failure Logistic Models Support Vector Machine Neural Networks, Computer Female Cross-Sectional Studies Humans
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Country-level pandemic risk and preparedness classification based on COVID-19 data: A machine learning approach.

PloS one Oct 28, 2020
In this work we present a three-stage Machine Learning strategy to country-level risk classification based on countries that are reporting COVID-19 information. A K% binning discretisation (K = 25) is used to create four risk groups of countries base...
Betacoronavirus Pneumonia, Viral Disaster Planning International Cooperation Clinical Laboratory Techniques COVID-19 Testing Classification Reagent Kits, Diagnostic COVID-19 Algorithms Models, Theoretical Forecasting Support Vector Machine Humans Decision Trees SARS-CoV-2 Machine Learning Coronavirus Infections Global Health Pandemics Risk Assessment
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Development and Validation of a Gene Signature Classifier for Consensus Molecular Subtyping of Colorectal Carcinoma in a CLIA-Certified Setting.

Clinical cancer research : an official journal of the American Association for Cancer Research Oct 27, 2020
PURPOSE: Consensus molecular subtyping (CMS) of colorectal cancer has potential to reshape the colorectal cancer landscape. We developed and validated an assay that is applicable on formalin-fixed, paraffin-embedded (FFPE) samples of colorectal cance...
Prognosis Female Reproducibility of Results Colorectal Neoplasms Humans Transcriptome Risk Assessment Drug Resistance, Neoplasm Gene Expression Regulation, Neoplastic Biomarkers, Tumor Antineoplastic Agents Support Vector Machine Gene Expression Profiling Male Middle Aged
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Discrimination of alcohol dependence based on the convolutional neural network.

PloS one Oct 27, 2020
In this paper, a total of 20 sites of single nucleotide polymorphisms (SNPs) on the serotonin 3 receptor A gene (HTR3A) and B gene (HTR3B) are used for feature fusion with age, education and marital status information, and the grid search-support vec...
Humans Educational Status Young Adult Neural Networks, Computer Female Linear Models Marital Status Alcoholism Genotype Adult Support Vector Machine Male Age Factors Middle Aged
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Prediction of Flight Time Deviation for Lithuanian Airports Using Supervised Machine Learning Model.

Computational intelligence and neuroscience Oct 26, 2020
In the paper, the flight time deviation of Lithuania airports has been analyzed. The supervised machine learning model has been implemented to predict the interval of time delay deviation of new flights. The analysis has been made using seven algorit...
Decision Trees Neural Networks, Computer Supervised Machine Learning Algorithms Airports Support Vector Machine
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Impact of Feature Selection Algorithm on Speech Emotion Recognition Using Deep Convolutional Neural Network.

Sensors (Basel, Switzerland) Oct 23, 2020
Speech emotion recognition (SER) plays a significant role in human-machine interaction. Emotion recognition from speech and its precise classification is a challenging task because a machine is unable to understand its context. For an accurate emotio...
Neural Networks, Computer Algorithms Speech Humans Support Vector Machine Emotions
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Self-evoluting framework of deep convolutional neural network for multilocus protein subcellular localization.

Medical & biological engineering & computing Oct 20, 2020
In the present paper, deep convolutional neural network (DCNN) is applied to multilocus protein subcellular localization as it is more suitable for multi-class classification. There are two main problems with this application. First, the appropriate ...
Algorithms Databases, Factual Support Vector Machine Proteins Humans Neural Networks, Computer
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Predicting the consequences of accidents involving dangerous substances using machine learning.

Ecotoxicology and environmental safety Oct 19, 2020
A new dimension of learning lessons from the occurrence of hazardous events involving dangerous substances is considered relying on the availability of representative data and the significant evolution of a wide range of machine learning tools. The i...
Support Vector Machine Bayes Theorem Accidents Algorithms Forecasting Logistic Models Neural Networks, Computer Machine Learning Chemical Hazard Release Humans
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Replacing the internal standard to estimate micropollutants using deep and machine learning.

Water research Oct 19, 2020
Similar to the worldwide proliferation of urbanization, micropollutants have been involved in aquatic and ecological environmental systems. These pollutants have the propensity to wreak havoc on human health and the ecological system; hence, it is im...
Isotopes Reference Standards Machine Learning Support Vector Machine Humans Neural Networks, Computer
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