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
GPCR-MPredictor: multi-level prediction of G protein-coupled receptors using genetic ensemble
Muhammad Naveed,Asifullah Khan +1 more
TL;DR: An evolutionary approach, GPCR-MPredictor, which combines individual classifiers for predicting GPCRs and exploits the prediction results of SVM, KNN, PNN, and J48 at each level, is proposed.
Journal ArticleDOI
Activity recognition in smart homes with self verification of assignments
TL;DR: This work proposes a binary solution using support vector machines, which simplifies the problem to correct/incorrect assignments for multi-class activity classification, and demonstrates a better performance of the proposed approach compared to the state of the art.
Journal ArticleDOI
An analysis of credit scoring for agricultural loans in Thailand
TL;DR: In this paper, a credit scoring model for the agricultural loans in Thailand is presented and the results of the logistic regression confirm the importance of total asset value, capital turnover ratio (efficiency) and the duration of a bank - borrower relationship as important factors in determining the creditworthiness of the borrowers.
Proceedings ArticleDOI
Comparing artificial neural networks to other statistical methods for medical outcome prediction
TL;DR: Neural networks can perform as well as the best traditional prediction methods, and they can capture the power of nonmonotonic predictors and discover complex genetic interactions.
Journal ArticleDOI
Automated pathological brain detection system: A fast discrete curvelet transform and probabilistic neural network based approach
TL;DR: The suggested pathological brain detection system (PBDS) has the ability to help radiologists to initiate the corrective measures for treating the ailing patients at an early stage and has a potential to be installed on medical robots.
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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