AIMC Topic: Linear Models

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Motor Imagery Classification Based on Bilinear Sub-Manifold Learning of Symmetric Positive-Definite Matrices.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jul 7, 2016
In motor imagery brain-computer interfaces (BCIs), the symmetric positive-definite (SPD) covariance matrices of electroencephalogram (EEG) signals carry important discriminative information. In this paper, we intend to classify motor imagery EEG sign...
Movement Evoked Potentials, Motor Imagination Electroencephalography Linear Models Pattern Recognition, Automated Brain-Computer Interfaces Humans Machine Learning Algorithms Reproducibility of Results Sensitivity and Specificity Brain Mapping
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Prediction of air pollutant concentration based on sparse response back-propagation training feedforward neural networks.

Environmental science and pollution research international Jul 6, 2016
In this paper, we predict air pollutant concentration using a feedforward artificial neural network inspired by the mechanism of the human brain as a useful alternative to traditional statistical modeling techniques. The neural network is trained bas...
Humans Air Pollutants Air Pollution Linear Models Neural Networks, Computer Hong Kong Algorithms Meteorology Environmental Monitoring Models, Statistical
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The use of machine learning for the identification of peripheral artery disease and future mortality risk.

Journal of vascular surgery Jun 3, 2016
OBJECTIVE: A key aspect of the precision medicine effort is the development of informatics tools that can analyze and interpret "big data" sets in an automated and adaptive fashion while providing accurate and actionable clinical information. The aim...
Machine Learning Algorithms Decision Support Techniques Databases, Factual Humans Aged Male Middle Aged Risk Assessment Prognosis Female Reproducibility of Results Risk Factors Ankle Brachial Index Linear Models Predictive Value of Tests ROC Curve Area Under Curve Genomics Coronary Angiography Logistic Models Data Mining Peripheral Arterial Disease
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Multilayer perceptron neural network-based approach for modeling phycocyanin pigment concentrations: case study from lower Charles River buoy, USA.

Environmental science and pollution research international May 24, 2016
This paper proposes multilayer perceptron neural network (MLPNN) to predict phycocyanin (PC) pigment using water quality variables as predictor. In the proposed model, four water quality variables that are water temperature, dissolved oxygen, pH, and...
Linear Models Multivariate Analysis Phycocyanin Water Pollutants, Chemical Oxygen Water Quality Rivers Neural Networks, Computer
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SWIFT-Review: a text-mining workbench for systematic review.

Systematic reviews May 23, 2016
BACKGROUND: There is growing interest in using machine learning approaches to priority rank studies and reduce human burden in screening literature when conducting systematic reviews. In addition, identifying addressable questions during the problem ...
Data Mining Information Storage and Retrieval Linear Models Machine Learning Software Algorithms Databases, Factual Systematic Reviews as Topic
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Folded concave penalized learning in identifying multimodal MRI marker for Parkinson's disease.

Journal of neuroscience methods Apr 19, 2016
BACKGROUND: Brain MRI holds promise to gauge different aspects of Parkinson's disease (PD)-related pathological changes. Its analysis, however, is hindered by the high-dimensional nature of the data.
Linear Models Pattern Recognition, Automated Diffusion Tensor Imaging Algorithms Brain Sensitivity and Specificity Logistic Models Humans Magnetic Resonance Imaging Machine Learning Parkinson Disease Multimodal Imaging Image Interpretation, Computer-Assisted
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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...
Imagination Datasets as Topic Time Factors Linear Models Bayes Theorem Humans Brain-Computer Interfaces Discriminant Analysis Machine Learning Motor Activity Electroencephalography Algorithms Brain
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A Computational Framework for Realistic Retina Modeling.

International journal of neural systems Apr 7, 2016
Computational simulations of the retina have led to valuable insights about the biophysics of its neuronal activity and processing principles. A great number of retina models have been proposed to reproduce the behavioral diversity of the different v...
Computer Simulation Animals Neuronal Plasticity Models, Neurological Retina Nonlinear Dynamics Linear Models Pattern Recognition, Automated Neural Networks, Computer Software Algorithms Membrane Potentials Macaca Vision, Ocular Neural Pathways Adaptation, Physiological Feedback, Physiological
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Developing a support vector machine based QSPR model for prediction of half-life of some herbicides.

Ecotoxicology and environmental safety Mar 9, 2016
The half-life (t1/2) of 58 herbicides were modeled by quantitative structure-property relationship (QSPR) based molecular structure descriptors. After calculation and the screening of a large number of molecular descriptors, the most relevant those o...
Nonlinear Dynamics Herbicides Linear Models Quantitative Structure-Activity Relationship Support Vector Machine Molecular Structure Models, Chemical Half-Life
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Predicting ground contact events for a continuum of gait types: An application of targeted machine learning using principal component analysis.

Gait & posture Mar 4, 2016
An ongoing challenge in the application of gait analysis to clinical settings is the standardized detection of temporal events, with unobtrusive and cost-effective equipment, for a wide range of gait types. The purpose of the current study was to inv...
Signal Processing, Computer-Assisted Biomechanical Phenomena Humans Exercise Test Male Machine Learning Running Middle Aged Female Walking Reference Values Principal Component Analysis Adult Gait Linear Models Weight-Bearing
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