AIMC Topic: Algorithms

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Training spiking neural models using artificial bee colony.

Computational intelligence and neuroscience Feb 1, 2015
Spiking neurons are models designed to simulate, in a realistic manner, the behavior of biological neurons. Recently, it has been proven that this type of neurons can be applied to solve pattern recognition problems with great efficiency. However, th...
Learning Neurons Neural Networks, Computer Algorithms Computer Simulation
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Spatiotemporal System Identification With Continuous Spatial Maps and Sparse Estimation.

IEEE transactions on neural networks and learning systems Jan 30, 2015
We present a framework for the identification of spatiotemporal linear dynamical systems. We use a state-space model representation that has the following attributes: 1) the number of spatial observation locations are decoupled from the model order; ...
Models, Theoretical Nonlinear Dynamics Pattern Recognition, Automated Algorithms Computer Simulation Time Factors Humans Neural Networks, Computer
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Solving nonlinear equality constrained multiobjective optimization problems using neural networks.

IEEE transactions on neural networks and learning systems Jan 30, 2015
This paper develops a neural network architecture and a new processing method for solving in real time, the nonlinear equality constrained multiobjective optimization problem (NECMOP), where several nonlinear objective functions must be optimized in ...
Problem Solving Humans Neural Networks, Computer Algorithms Computer Simulation Nonlinear Dynamics Pattern Recognition, Automated
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Structured patch model for a unified automatic and interactive segmentation framework.

Medical image analysis Jan 29, 2015
We present a novel interactive segmentation framework incorporating a priori knowledge learned from training data. The knowledge is learned as a structured patch model (StPM) comprising sets of corresponding local patch priors and their pairwise spat...
Algorithms Computer Simulation Reproducibility of Results Sensitivity and Specificity Subtraction Technique Models, Statistical Machine Learning Models, Biological Image Interpretation, Computer-Assisted Pattern Recognition, Automated Image Enhancement
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Identifying microRNAs involved in cancer pathway using support vector machines.

Computational biology and chemistry Jan 29, 2015
Since Ambros' discovery of small non-protein coding RNAs in the early 1990s, the past two decades have seen an upsurge in the number of reports of predicted microRNAs (miR), which have been implicated in various functions. The correlation of miRs wit...
Gene Expression Regulation, Neoplastic Algorithms Support Vector Machine Neoplastic Processes Neoplasms MicroRNAs
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Potential application of machine learning in health outcomes research and some statistical cautions.

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research Jan 29, 2015
Traditional analytic methods are often ill-suited to the evolving world of health care big data characterized by massive volume, complexity, and velocity. In particular, methods are needed that can estimate models efficiently using very large dataset...
Outcome Assessment, Health Care Humans Health Services Research Artificial Intelligence Algorithms
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Automatic epileptic seizure detection using scalp EEG and advanced artificial intelligence techniques.

BioMed research international Jan 29, 2015
The epilepsies are a heterogeneous group of neurological disorders and syndromes characterised by recurrent, involuntary, paroxysmal seizure activity, which is often associated with a clinicoelectrical correlate on the electroencephalogram. The diagn...
Diagnosis, Computer-Assisted Machine Learning Adolescent Algorithms Humans Child, Preschool Signal Processing, Computer-Assisted Female Reproducibility of Results Pattern Recognition, Automated Sensitivity and Specificity Young Adult Scalp Child Male Adult Infant Electroencephalography Epilepsy
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Predicting Prodromal Alzheimer's Disease in Subjects with Mild Cognitive Impairment Using Machine Learning Classification of Multimodal Multicenter Diffusion-Tensor and Magnetic Resonance Imaging Data.

Journal of neuroimaging : official journal of the American Society of Neuroimaging Jan 28, 2015
BACKGROUND: Alzheimer's disease (AD) patients show early changes in white matter (WM) structural integrity. We studied the use of diffusion tensor imaging (DTI) in assessing WM alterations in the predementia stage of mild cognitive impairment (MCI).
Algorithms Reproducibility of Results Aged Humans Machine Learning Multimodal Imaging Alzheimer Disease Image Interpretation, Computer-Assisted Sensitivity and Specificity Male Cognitive Dysfunction Image Enhancement Diffusion Tensor Imaging Prodromal Symptoms
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The ligand binding mechanism to purine nucleoside phosphorylase elucidated via molecular dynamics and machine learning.

Nature communications Jan 27, 2015
The study of biomolecular interactions between a drug and its biological target is of paramount importance for the design of novel bioactive compounds. In this paper, we report on the use of molecular dynamics (MD) simulations and machine learning to...
Humans Cluster Analysis Kinetics Machine Learning Molecular Dynamics Simulation Pyrrolidines Algorithms Protein Multimerization Time Factors Purine-Nucleoside Phosphorylase Protein Binding Ligands Pyrimidinones Thermodynamics
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A New Multivariate Approach for Prognostics Based on Extreme Learning Machine and Fuzzy Clustering.

IEEE transactions on cybernetics Jan 26, 2015
Prognostics is a core process of prognostics and health management (PHM) discipline, that estimates the remaining useful life (RUL) of a degrading machinery to optimize its service delivery potential. However, machinery operates in a dynamic environm...
Fuzzy Logic Machine Learning Cluster Analysis Algorithms Engineering Multivariate Analysis Models, Theoretical
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