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
Power quality disturbances classification based on S-transform and probabilistic neural network
TL;DR: A novel high-performance classification system based on the S-transform and a probabilistic neural network (PNN) is proposed that reduces the time required for learning and the computational costs associated with the features and the PNN's memory space.
Journal ArticleDOI
Supervised texture classification using a probabilistic neural network and constraint satisfaction model
P.P. Raghu,B. Yegnanarayana +1 more
TL;DR: The focus is on the use of a probabilistic neural network for representing the distribution of feature vectors of each texture class in order to generate a feature-label interaction constraint.
Proceedings ArticleDOI
Multiclass cancer classification using gene expression profiling and probabilistic neural networks.
TL;DR: A probabilistic neural network (PNN) model is presented that provides sound statistical confidences for its decisions, and it is able to model asymmetrical misclassification costs, and the results demonstrate the successful application of the PNN model for multiclass cancer classification.
Journal ArticleDOI
Fast implementations of nearest neighbor classifiers
TL;DR: Four techniques for expediting the nearest neighbor methods are described: replacing the linear search with a new kd tree method, exhibiting approximately O (N 1 2 ) behavior; employing an L ∞ instead of L 2 distance metric; using variance-ordered features; and rejecting prototypes by evaluating distances in low dimensionality subspaces.
Journal ArticleDOI
A Wearable Inertial Pedestrian Navigation System With Quaternion-Based Extended Kalman Filter for Pedestrian Localization
TL;DR: Wang et al. as discussed by the authors presented a wearable inertial pedestrian navigation system and its associated pedestrian trajectory reconstruction algorithm for reconstructing pedestrian walking trajectories in indoor and outdoor environments, which consists of the procedures of inertial signal acquisition, signal preprocessing, trajectory reconstruction, and trajectory height estimation.
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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