Journal ArticleDOI
Probabilistic neural networks
TLDR
A probabilistic neural network that can compute nonlinear decision boundaries which approach the Bayes optimal is formed, and a fourlayer neural network of the type proposed can map any input pattern to any number of classifications.About:
This article is published in Neural Networks.The article was published on 1990-01-01. It has received 3772 citations till now. The article focuses on the topics: Probabilistic neural network & Activation function.read more
Citations
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Journal ArticleDOI
Computer-based identification of normal and alcoholic eeg signals using wavelet packets and energy measures
TL;DR: It is stated that EEG signals can be used to automate both diagnosis and treatment monitoring of alcoholic patients and an automatization can lead to cost reduction by relieving medical experts from routine and administrative tasks.
Journal ArticleDOI
Can we improve the spatial predictions of seabed sediments? A case study of spatial interpolation of mud content across the southwest Australian margin
TL;DR: In this article, 14 methods (37 sub-methods) are compared using samples of mud content with five levels of sample density across the southwest Australian margin, and a total of 1850 prediction datasets are produced and used to assess the performance of the methods and the effects of other factors considered.
Journal ArticleDOI
Minimum non detection zone for islanding detection using an optimal Artificial Neural Network algorithm based on PSO
TL;DR: An efficient and intelligent islanding detection algorithm using combination of an optimal Artificial Neural Network (ANN) based on Particle Swarm Optimization (PSO) with a simple active method to reduce NDZ.
Journal ArticleDOI
Wavelet Scattering Transform for ECG Beat Classification.
TL;DR: A novel approach using wavelet scattering transform to automatically classify four categories of arrhythmia ECG heartbeats, namely, nonectopic (N), supraventricular ectopic (S), ventricular ectopy (V), and fusion (F) beats, which is capable of highly accurate arrhythmmia classification and will provide assistance to physicians in ECG interpretation.
Proceedings ArticleDOI
Multimedia and Medicine: Teammates for Better Disease Detection and Survival
Michael Riegler,Mathias Lux,Carsten Griwodz,Concetto Spampinato,Thomas de Lange,Sigrun Losada Eskeland,Konstantin Pogorelov,Wallapak Tavanapong,Peter T. Schmidt,Cathal Gurrin,Dag Johansen,Håvard D. Johansen,Pål Halvorsen +12 more
TL;DR: Initial investigations into two use cases surrounding diseases of the gastrointestinal (GI) tract are conducted, where the detection of abnormalities provides the largest chance of successful treatment if the initial observation of disease indicators occurs before the patient notices any symptoms.
References
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Journal ArticleDOI
Nearest neighbor pattern classification
Thomas M. Cover,Peter E. Hart +1 more
TL;DR: The nearest neighbor decision rule assigns to an unclassified sample point the classification of the nearest of a set of previously classified points, so it may be said that half the classification information in an infinite sample set is contained in the nearest neighbor.
Journal ArticleDOI
On Estimation of a Probability Density Function and Mode
TL;DR: In this paper, the problem of the estimation of a probability density function and of determining the mode of the probability function is discussed. Only estimates which are consistent and asymptotically normal are constructed.
Book
Introduction to the Theory of Statistics
TL;DR: In this article, a tabular summary of parametric families of distributions is presented, along with a parametric point estimation method and a nonparametric interval estimation method for point estimation.
Journal ArticleDOI
Introduction to the Theory of Statistics.
Jacob Wolfowitz,A. M. Mood +1 more
TL;DR: In this article, a tabular summary of parametric families of distributions is presented, along with a parametric point estimation method and a nonparametric interval estimation method for point estimation.
Journal ArticleDOI