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
More filters
Book
Neural networks for pattern recognition
TL;DR: This is the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition, and is designed as a text, with over 100 exercises, to benefit anyone involved in the fields of neural computation and pattern recognition.
Journal ArticleDOI
MicroRNA expression profiles classify human cancers
Jun Lu,Gad Getz,Eric A. Miska,Eric A. Miska,Ezequiel Alvarez-Saavedra,Justin Lamb,David Peck,Alejandro Sweet-Cordero,Alejandro Sweet-Cordero,Benjamin L. Ebert,Benjamin L. Ebert,Raymond H. Mak,Raymond H. Mak,Adolfo A. Ferrando,James R. Downing,Tyler Jacks,H. Robert Horvitz,H. Robert Horvitz,Todd R. Golub,Todd R. Golub,Todd R. Golub +20 more
TL;DR: A new, bead-based flow cytometric miRNA expression profiling method is used to present a systematic expression analysis of 217 mammalian miRNAs from 334 samples, including multiple human cancers, and finds the miRNA profiles are surprisingly informative, reflecting the developmental lineage and differentiation state of the tumours.
Book
Pattern recognition and neural networks
Brian D. Ripley,N. L. Hjort +1 more
TL;DR: Professor Ripley brings together two crucial ideas in pattern recognition; statistical methods and machine learning via neural networks in this self-contained account.
Journal ArticleDOI
A general regression neural network
TL;DR: The general regression neural network (GRNN) is a one-pass learning algorithm with a highly parallel structure that provides smooth transitions from one observed value to another.
MonographDOI
Combining Pattern Classifiers
TL;DR: This combining pattern classifiers methods and algorithms helps people to enjoy a good book with a cup of coffee in the afternoon, instead they cope with some harmful virus inside their computer.
References
More filters
Journal ArticleDOI
Estimation of Probability Density
TL;DR: In this paper, the authors relax the assumption of absolute continuity of the distribution and show that the class of estimators still consistently estimate the density at all points of continuity of a distribution, where the density density is also continuous.