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Keyword

perceptron

Description: A perceptron is a supervised learning algorithm that classifies inputs using a weighted sum and a threshold, forming a linear decision boundary.
Wikidata ID: wiki/Q690207
OpenAlex ID: keywords/perceptron
Learning representations by back-propagating errors
1986 · David E. Rumelhart, Geoffrey E. Hinton, et al. · Nature · 31,761
The perceptron: A probabilistic model for information storage and organization in the brain.
1958 · F. Rosenblatt · Psychological Review · 12,261
A training algorithm for optimal margin classifiers
1992 · Bernhard E. Boser, Isabelle M. Guyon, et al. · 11,998
Neural Network Design
2016 · Hagan, Martin T., Demuth, Howard B., et al. · Institutional Repository of the National University Open and Distance UNAD (Universidad Nacional Abierta y a Distancia) · 5,133
Perceptrons: An Introduction to Computational Geometry
1969 · Marvin Minsky, Seymour Papert · 3,249
Pattern Recognition Principles
2009 · CRC Press eBooks · 3,188
Natural Gradient Works Efficiently in Learning
1998 · Shun-ichi Amari · Neural Computation · 2,715
A theory of cerebellar function
1971 · James S. Albus · Mathematical Biosciences · 2,537
30 years of adaptive neural networks: perceptron, Madaline, and backpropagation
1990 · B. Widrow, M.A. Lehr · Proceedings of the IEEE · 2,242
Principles of Neurodynamics: Perceptrons and the Theory of Brain Mechanisms
1963 · B. W. White, Frank Rosenblatt · The American Journal of Psychology · 1,795
Principles of Neurodynamics. Perceptrons and the Theory of Brain Mechanisms
1961 · FRANK ROSENBLATT · 1,691
Learning with Drift Detection
2004 · João Gama, Pedro Medas, et al. · Lecture notes in computer science · 1,634
Solving large scale linear prediction problems using stochastic gradient descent algorithms
2004 · Tong Zhang · 1,134
Selective Sampling Using the Query by Committee Algorithm
1997 · Yoav Freund, H. Sebastian Seung, et al. · Machine Learning · 1,097
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Neural Networks: A Review from a Statistical Perspective
1994 · Bing Cheng, D. M. Titterington · Statistical Science · 1,056
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Elements of Artificial Neural Networks
1996 · Kishan Mehrotra, Chilukuri Mohan, et al. · The MIT Press eBooks · 920
Neural Networks and Deep Learning
2015 · Sergios Theodoridis · Machine Learning · 902
Computer systems that learn: classification and prediction methods from statistics, neural nets, machine learning, and expert systems
1991 · Sholom M. Weiss, Casimir A. Kulikowski · Morgan Kaufmann Publishers Inc. eBooks · 889
On the approximability of minimizing nonzero variables or unsatisfied relations in linear systems
1998 · Edoardo Amaldi, Viggo Kann · Theoretical Computer Science · 754
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A fully integrated reprogrammable memristor–CMOS system for efficient multiply–accumulate operations
2019 · Fuxi Cai, Justin M. Correll, et al. · Nature Electronics · 726
Machine Learning and Its Applications to Biology
2007 · Adi L Tarca, Vincent J Carey, et al. · PLoS Computational Biology · 651
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On the problem of local minima in backpropagation
1992 · M. Gori, A. Tesi · IEEE Transactions on Pattern Analysis and Machine Intelligence · 651
A crossbar array of magnetoresistive memory devices for in-memory computing
2022 · Seungchul Jung, Hyungwoo Lee, et al. · Nature · 639
Simple models for reading neuronal population codes.
1993 · H S Seung, H Sompolinsky · Proceedings of the National Academy of Sciences · 605
Neural Network Fundamentals with Graphs, Algorithms and Applications
1995 · N.K. Bose, Pengfei Liang · 589
Works count: 4,439
Citation count: 133,900
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