Search Result "Supervised Networks"


Supervised Learning

Ebook: Introduction to Machine Learning with Python
Volume: 1 Year: 2023
Author(s):
Doi: 10.2174/9789815124422123010009

Semi-Supervised Algorithms

Ebook: COVID 19 – Monitoring with IoT Devices
Volume: 1 Year: 2023
Author(s):
Doi: 10.2174/9789815179453123010006

Review Article

Supervised Learning in Spiking Neural Networks with Synaptic Delay Plasticity: An Overview

Journal: Current Bioinformatics
Volume: 15 Issue: 8 Year: 2020 Page: 854-865
Author(s): Yawen Lan,Qiang Li

Diagnose Breast Cancer on Mammography Using Self Supervised Decision Tree Algorithm

Ebook: Intelligent Technologies for Research and Engineering
Volume: 2 Year: 2024
Author(s): A. Pon Bharathi,A. S. Sarika,V. Suresh Babu,Allan J. Wilson
Doi: 10.2174/9789815165586124020012

Research Article

Computer Network Technology for the Construction of Engineering SafetySupervision and Management Systems

Journal: Recent Advances in Electrical & Electronic Engineering
Volume: 16 Issue: 2 Year: 2023 Page: 143-149
Author(s):

Research Article

A Large Size Image Classification Method Based on Semi-supervised Learning

Journal: Recent Advances in Electrical & Electronic Engineering
Volume: 13 Issue: 5 Year: 2020 Page: 669-680
Author(s): Dan Luo,Xili Wang

Research Article

A Weakly Supervised Brain Tumor Segmentation Strategy Based on Multi-level Sub-category and Membership Matrix

Journal: Current Medical Imaging
Volume: 19 Issue: 10 Year: 2023 Page: 1196-1206
Author(s):

SemiHS: An Iterative Semi-Supervised Approach for Predicting Proteinprotein Interaction Hot Spots

Journal: Protein & Peptide Letters
Volume: 18 Issue: 9 Year: 2011 Page: 896-905
Author(s): Ji-Hong Guan, Qi-Wen Dong, Shui-Geng Zhou, Lei Deng

Classifying Animal Sounds with Neural Networks

Ebook: Comparative Bioacoustics: An Overview
Volume: 1 Year: 2017
Author(s): Eduardo Mercado III,Christopher B. Sturdy
Doi: 10.2174/9781681083179117010013

A Brief Introduction to Artificial Neural Networks

Ebook: Artificial Adaptive Systems in Medicine: New Theories and Models for New Applications in the Real World
Volume: 1 Year: 2009
Author(s): Massimo Buscema
Doi: 10.2174/978160805042010901010005

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