AIMC Topic: Probability

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Enhancing Evolutionary Couplings with Deep Convolutional Neural Networks.

Cell systems Dec 20, 2017
While genes are defined by sequence, in biological systems a protein's function is largely determined by its three-dimensional structure. Evolutionary information embedded within multiple sequence alignments provides a rich source of data for inferri...
Animals Computational Biology Proteins Machine Learning Algorithms Forecasting Protein Conformation Protein Folding Sequence Alignment Databases, Protein Models, Molecular Probability Humans Neural Networks, Computer
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On the approximation by single hidden layer feedforward neural networks with fixed weights.

Neural networks : the official journal of the International Neural Network Society Dec 18, 2017
Single hidden layer feedforward neural networks (SLFNs) with fixed weights possess the universal approximation property provided that approximated functions are univariate. But this phenomenon does not lay any restrictions on the number of neurons in...
Neural Networks, Computer Algorithms Neurons Probability
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Predictions of ocular changes caused by diabetes in glaucoma patients.

Computer methods and programs in biomedicine Nov 15, 2017
BACKGROUND AND OBJECTIVE: This paper builds different neural network models with simple topologies, having one or two hidden layers which were subsequently employed in the prediction of ocular changes progression in patients with diabetes associated ...
Neural Networks, Computer Female Aged Humans Disease Progression Age Factors Tomography, Optical Coherence Intraocular Pressure Male Middle Aged Diabetes Complications Glaucoma, Open-Angle Tonometry, Ocular Glycated Hemoglobin Probability Visual Fields
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Sequential Probability Ratio Testing with Power Projective Base Method Improves Decision-Making for BCI.

Computational and mathematical methods in medicine Nov 14, 2017
Obtaining a fast and reliable decision is an important issue in brain-computer interfaces (BCI), particularly in practical real-time applications such as wheelchair or neuroprosthetic control. In this study, the EEG signals were firstly analyzed with...
Motor Activity Bayes Theorem Wheelchairs Electroencephalography Probability Humans Signal Processing, Computer-Assisted Algorithms Brain-Computer Interfaces Machine Learning Reproducibility of Results Movement Decision Making
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An inexact multistage fuzzy-stochastic programming for regional electric power system management constrained by environmental quality.

Environmental science and pollution research international Oct 9, 2017
Electric power system involves different fields and disciplines which addressed the economic system, energy system, and environment system. Inner uncertainty of this compound system would be an inevitable problem. Therefore, an inexact multistage fuz...
Uncertainty Power Plants Models, Theoretical Fuzzy Logic Decision Making Probability Electric Power Supplies
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Ultrasound image-based thyroid nodule automatic segmentation using convolutional neural networks.

International journal of computer assisted radiology and surgery Jul 31, 2017
PURPOSE: Delineation of thyroid nodule boundaries from ultrasound images plays an important role in calculation of clinical indices and diagnosis of thyroid diseases. However, it is challenging for accurate and automatic segmentation of thyroid nodul...
Probability Aged Ultrasonography Young Adult Male Thyroid Nodule Adult Middle Aged Image Processing, Computer-Assisted Humans Neural Networks, Computer Female
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Stochastic separation theorems.

Neural networks : the official journal of the International Neural Network Society Jul 31, 2017
The problem of non-iterative one-shot and non-destructive correction of unavoidable mistakes arises in all Artificial Intelligence applications in the real world. Its solution requires robust separation of samples with errors from samples where the s...
Machine Learning Neural Networks, Computer Probability Stochastic Processes
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Heart sounds analysis using probability assessment.

Physiological measurement Jul 31, 2017
OBJECTIVE: This paper describes a method for automated discrimination of heart sounds recordings according to the Physionet Challenge 2016. The goal was to decide if the recording refers to normal or abnormal heart sounds or if it is not possible to ...
Heart Sounds Algorithms Signal Processing, Computer-Assisted Probability Artificial Intelligence Software
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Limitations of shallow nets approximation.

Neural networks : the official journal of the International Neural Network Society Jul 12, 2017
In this paper, we aim at analyzing the approximation abilities of shallow networks in reproducing kernel Hilbert spaces (RKHSs). We prove that there is a probability measure such that the achievable lower bound for approximating by shallow nets can b...
Neural Networks, Computer Probability
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Identifying incipient dementia individuals using machine learning and amyloid imaging.

Neurobiology of aging Jul 11, 2017
Identifying individuals destined to develop Alzheimer's dementia within time frames acceptable for clinical trials constitutes an important challenge to design studies to test emerging disease-modifying therapies. Although amyloid-β protein is the co...
Humans Machine Learning Biomarkers Female Aged Predictive Value of Tests Alzheimer Disease Positron-Emission Tomography Probability Aged, 80 and over Disease Progression Male Cognitive Dysfunction Middle Aged Time Factors
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