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
A hybrid machine learning approach for malicious behaviour detection and recognition in cloud computing
TL;DR: This paper proposes a new approach to improve the capability of Cloud service providers to model users' behaviours by applying a particle swarm optimization-based probabilistic neural network (PSO-PNN) for the detection and recognition of malicious behaviours.
Journal Article
A data mining approach to employee turnover prediction (case study: Arak automotive parts manufacturing)
TL;DR: A graphical user interface is designed specifically for the case study to handle knowledge discovery life cycle and different data mining methods are compared based on their accuracy, calculation time and user friendliness.
Proceedings Article
Neural-net classification for spatio-temporal descriptor based depression analysis
TL;DR: The proposed diagnostic support system is based on computing spatio-temporal features from video sequences and a temporal visual words dictionary is learned from them for depression analysis based on visual cues from facial expressions and upper body movements.
Journal ArticleDOI
Online pattern classification with multiple neural network systems: an experimental study
Chee Peng Lim,Robert F. Harrison +1 more
TL;DR: The experiments demonstrate the potentials of the proposed multiple neural network systems in offering an alternative to handle online pattern classification tasks in possibly nonstationary environments.
Journal ArticleDOI
Stock Market Prediction Using a Combination of Stepwise Regression Analysis, Differential Evolution-based Fuzzy Clustering, and a Fuzzy Inference Neural Network
David Enke,Nijat Mehdiyev +1 more
TL;DR: A hybrid prediction model that combines differential evolution-based fuzzy clustering with a fuzzy inference neural network for performing an index level forecast is discussed.
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.
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