Frontiers

Support vector machines for spike pattern classification with a leaky integrate-and-fire neuron

Spike pattern classification is a key topic in machine learning, computational neuroscience, and electronic device design. Here, we offer a new supervised learning rule based on Support Vector ...
GitHub

In-Situ-Memristive-Learning-Method-for-Pattern-Classification

After proposing the SNNtrainer3D app (https://github.com/jurjsorinliviu/SNNtrainer3D and https://www.mdpi.com/2076-3417/14/13/5752), and the Efficient Implementation ...
GitHub

pattern-classification

A pattern classification analysis tool that potentially increased brain tumor diagnostic procedures. By taking an information picture, assign significance to different viewpoints in the picture and ...
IEEE

Cross-Domain Pattern Classification With Distribution Adaptation Based on Evidence Theory

Abstract: In pattern classification, there may not exist labeled patterns in the target domain to train a classifier. Domain adaptation (DA) techniques can transfer the knowledge from the source ...
IEEE

Pattern Classification

Abstract: This chapter contains sections titled: 3.1 Bayesian Networks for Pattern Classification, 3.2 Autoregressive Networks, 3.3 Estimating Latent Variable Models Using the EM Algorithm, 3.4 ...
InfoWorld

Introduction to design patterns, Part 1: Design pattern history and classification

Get an overview of design patterns, then use what you've learned to evaluate whether the Composite pattern is a good choice for a particular Java use case Numerous strategies have been devised to ...