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Perceptron

Known as: Perceptron algorithm, Perceptron learning algorithm, Threshold neuron 
In machine learning, the perceptron is an algorithm for supervised learning of binary classifiers (functions that can decide whether an input… 
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AForge.NETAI winterArtificial neuronBackpropagation

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2013
Highly Cited
2013
BudgetedSVM: a toolbox for scalable SVM approximations
We present BudgetedSVM, an open-source C++ toolbox comprising highly-optimized implementations of recently proposed algorithms… 
Highly Cited
2010
Highly Cited
2010
Automatic textile image annotation by predicting emotional concepts from visual features
Highly Cited
2006
Highly Cited
2006
A procedure to enhance identification of recurrent neural networks for simulating air-fuel ratio dynamics in SI engines
2006
2006
Rejection strategies for offline handwritten text line recognition
Review
2003
Review
2003
An Introduction to Support Vector Machines: A Review
Review of "An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods, Nello Cristianini and John Shawe… 
2002
2002
Forest-fire detection by means of lidar.
The fundamentals of smoke sensing based on a single-wavelength lidar technique are discussed and experimental results of forest… 
Highly Cited
1995
Highly Cited
1995
Block-structured recurrent neural networks
Highly Cited
1990
Highly Cited
1990
On the foundations of intelligent processes - I. An evolving model for pattern learning
1990
1990
Adaptive Self-Organizing Concurrent Systems
1. Introduction Current technology trends, demanding applications, and limitations of sequential computation, have combined to… 
1989
1989
Optimal learning in neural network memories
The authors examine general learning procedures for neural network associative memories and find algorithms which optimise… 
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