AIMC Topic: Discriminant Analysis

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Evaluation of extreme learning machine for classification of individual and combined finger movements using electromyography on amputees and non-amputees.

Neural networks : the official journal of the International Neural Network Society Oct 1, 2016
The success of myoelectric pattern recognition (M-PR) mostly relies on the features extracted and classifier employed. This paper proposes and evaluates a fast classifier, extreme learning machine (ELM), to classify individual and combined finger mov...
Electromyography Amputees Fingers Movement Humans Support Vector Machine Discriminant Analysis
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Semi-supervised learning for ordinal Kernel Discriminant Analysis.

Neural networks : the official journal of the International Neural Network Society Aug 25, 2016
Ordinal classification considers those classification problems where the labels of the variable to predict follow a given order. Naturally, labelled data is scarce or difficult to obtain in this type of problems because, in many cases, ordinal labels...
Discriminant Analysis Supervised Machine Learning Spatial Analysis Algorithms
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Combining machine learning and matching techniques to improve causal inference in program evaluation.

Journal of evaluation in clinical practice Jun 29, 2016
RATIONALE, AIMS AND OBJECTIVES: Program evaluations often utilize various matching approaches to emulate the randomization process for group assignment in experimental studies. Typically, the matching strategy is implemented, and then covariate balan...
Algorithms Female Adult Male Humans Machine Learning Program Evaluation Discriminant Analysis Middle Aged Random Allocation Propensity Score Causality Chronic Disease
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Predictive models reduce talent development costs in female gymnastics.

Journal of sports sciences Jun 7, 2016
This retrospective study focuses on the comparison of different predictive models based on the results of a talent identification test battery for female gymnasts. We studied to what extent these models have the potential to optimise selection proced...
Aptitude Gymnastics Humans Neural Networks, Computer Discriminant Analysis Costs and Cost Analysis Retrospective Studies Female
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Using machine learning to model dose-response relationships.

Journal of evaluation in clinical practice May 30, 2016
RATIONALE, AIMS AND OBJECTIVES: Establishing the relationship between various doses of an exposure and a response variable is integral to many studies in health care. Linear parametric models, widely used for estimating dose-response relationships, h...
Blood Flow Velocity Discriminant Analysis Cardiotonic Agents Data Mining Isoproterenol Humans Male Machine Learning Dose-Response Relationship, Drug Algorithms
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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...
Calibration Muscle Contraction Games, Experimental Discriminant Analysis Electromyography Pattern Recognition, Automated Amputation Stumps Machine Learning Algorithms Reproducibility of Results Young Adult Sensitivity and Specificity Male Humans
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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...
Humans Machine Learning Selection Bias Interrupted Time Series Analysis Research Design Male Female Adult Middle Aged Discriminant Analysis
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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...
Linear Models Brain-Computer Interfaces Motor Activity Imagination Discriminant Analysis Electroencephalography Humans Datasets as Topic Brain Machine Learning Time Factors Algorithms Bayes Theorem
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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 ...
Pharmaceutical Preparations Miniaturization Least-Squares Analysis Discriminant Analysis Spectroscopy, Near-Infrared Equipment Design Support Vector Machine Principal Component Analysis
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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 ...
Male Humans Propensity Score Observational Studies as Topic Machine Learning Retrospective Studies Middle Aged Patient-Centered Care Female Pilot Projects Algorithms Discriminant Analysis Adult Research Design
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