I've a dataset of six samples and 1530 feature and wish to know the the importance of features. I'm trying to use the "Rank Features By Importance" as mentioned in ...

Abstract: Discretization of continuous valued features is an important problem to consider during classification learning. There already exist a number of successful discretization techniques based on ...

Abstract: In this paper we present a Linear Vector Quantization (LVQ) neural network approach to estimate Direction of Arrivals (DOA) of narrowband sources. It is shown that appropriately trained LVQ ...

In our paper we evaluated the robustness of LVQ (Learning Vector Quantization) models against adversarial attacks on MNIST. This repository contains all the models (except the Madry model) that we ...

With the continuous development and wide application of artificial intelligence technology, artificial neural network technology has begun to be used in the field of fraud identification. Among them, ...

OBJECTIVE: To evaluate the accuracy and reproducibility of a new 3D real time echocardiographic semi automatic images processing (4D Auto LVQ, GE) for assessing left ventricular volumes and function.