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Discriminant Analysis

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Cascaded Adaptation Framework for Fast Calibration of Myoelectric Control.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society May 3, 2016
In spite of several decades of intensive research and development, the existing algorithms of myoelectric pattern recognition (MPR) are yet to make significant clinical and commercial impact. This study focuses on the one of the limiting factors of c...
Young Adult Sensitivity and Specificity Male Machine Learning Algorithms Reproducibility of Results Humans Calibration Muscle Contraction Games, Experimental Amputation Stumps Discriminant Analysis Electromyography Pattern Recognition, Automated
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Using machine learning to identify structural breaks in single-group interrupted time series designs.

Journal of evaluation in clinical practice Apr 19, 2016
RATIONALE, AIMS AND OBJECTIVES: Single-group interrupted time series analysis (ITSA) is a popular evaluation methodology in which a single unit of observation is being studied, the outcome variable is serially ordered as a time series and the interve...
Machine Learning Adult Humans Interrupted Time Series Analysis Male Discriminant Analysis Research Design Middle Aged Selection Bias Female
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Sparse Bayesian Learning for Obtaining Sparsity of EEG Frequency Bands Based Feature Vectors in Motor Imagery Classification.

International journal of neural systems Apr 11, 2016
Effective common spatial pattern (CSP) feature extraction for motor imagery (MI) electroencephalogram (EEG) recordings usually depends on the filter band selection to a large extent. Subband optimization has been suggested to enhance classification a...
Machine Learning Algorithms Brain Humans Electroencephalography Datasets as Topic Linear Models Brain-Computer Interfaces Time Factors Bayes Theorem Discriminant Analysis Motor Activity Imagination
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Pharmaceutical Raw Material Identification Using Miniature Near-Infrared (MicroNIR) Spectroscopy and Supervised Pattern Recognition Using Support Vector Machine.

Applied spectroscopy Mar 30, 2016
Near-infrared spectroscopy as a rapid and non-destructive analytical technique offers great advantages for pharmaceutical raw material identification (RMID) to fulfill the quality and safety requirements in pharmaceutical industry. In this study, we ...
Support Vector Machine Principal Component Analysis Least-Squares Analysis Pharmaceutical Preparations Miniaturization Discriminant Analysis Equipment Design Spectroscopy, Near-Infrared
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Using machine learning to assess covariate balance in matching studies.

Journal of evaluation in clinical practice Mar 23, 2016
In order to assess the effectiveness of matching approaches in observational studies, investigators typically present summary statistics for each observed pre-intervention covariate, with the objective of showing that matching reduces the difference ...
Adult Propensity Score Male Middle Aged Research Design Pilot Projects Patient-Centered Care Retrospective Studies Discriminant Analysis Humans Female Observational Studies as Topic Machine Learning Algorithms
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PDP-CON: prediction of domain/linker residues in protein sequences using a consensus approach.

Journal of molecular modeling Mar 11, 2016
The prediction of domain/linker residues in protein sequences is a crucial task in the functional classification of proteins, homology-based protein structure prediction, and high-throughput structural genomics. In this work, a novel consensus-based ...
Caspase 10 Caspase 8 Databases, Protein Bayes Theorem Discriminant Analysis Sequence Analysis, Protein Structural Homology, Protein Protein Domains Caspase 9 Computational Biology Support Vector Machine Decision Trees Humans Neural Networks, Computer
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Machine Learning Biogeographic Processes from Biotic Patterns: A New Trait-Dependent Dispersal and Diversification Model with Model Choice By Simulation-Trained Discriminant Analysis.

Systematic biology Dec 28, 2015
Current statistical biogeographical analysis methods are limited in the ways ecology can be related to the processes of diversification and geographical range evolution, requiring conflation of geography and ecology, and/or assuming ecologies that ar...
Models, Biological Phylogeography Computer Simulation Machine Learning Phylogeny Discriminant Analysis
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Automated identification of copepods using digital image processing and artificial neural network.

BMC bioinformatics Dec 9, 2015
BACKGROUND: Copepods are planktonic organisms that play a major role in the marine food chain. Studying the community structure and abundance of copepods in relation to the environment is essential to evaluate their contribution to mangrove trophodyn...
Copepoda Neural Networks, Computer Image Processing, Computer-Assisted Databases, Factual Discriminant Analysis Animals Automation
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Enhanced Local Gradient Order Features and Discriminant Analysis for Face Recognition.

IEEE transactions on cybernetics Oct 26, 2015
Robust descriptor-based subspace learning with complex data is an active topic in pattern analysis and machine intelligence. A few researches concentrate the optimal design on feature representation and metric learning. However, traditionally used fe...
Humans Male Discriminant Analysis Biometric Identification Artificial Intelligence Algorithms Female
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Superiority of Classification Tree versus Cluster, Fuzzy and Discriminant Models in a Heartbeat Classification System.

PloS one Oct 13, 2015
This study presents a 2-stage heartbeat classifier of supraventricular (SVB) and ventricular (VB) beats. Stage 1 makes computationally-efficient classification of SVB-beats, using simple correlation threshold criterion for finding close match with a ...
Databases as Topic Models, Cardiovascular Humans Sample Size Reproducibility of Results Electrocardiography Discriminant Analysis Fuzzy Logic Heart Rate Cluster Analysis
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