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Delta rule
In machine learning, the delta rule is a gradient descent learning rule for updating the weights of the inputs to artificial neurons in a single…
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Related topics
Related topics
8 relations
Activation function
Backpropagation
Catastrophic interference
Feedforward neural network
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
Neural Functions of the Delta-Opioid Receptor
Ying Xia
Cambridge International Law Journal
2015
Corpus ID: 27377122
The delta-opioid receptor (DOR) was traditionally thought to be primarily involved in modulating the transmission of messages…
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2015
2015
Impact of wind farms on disturbance detection and classification in distributed generation using modified Adaline network and an adaptive neuro-fuzzy information system
R. K. Patnaik
,
P. Dash
Applied Soft Computing
2015
Corpus ID: 41898430
2012
2012
An enhanced relevance criterion for more concise supervised pattern discovery
H. Grosskreutz
,
Daniel Paurat
,
S. Rüping
Knowledge Discovery and Data Mining
2012
Corpus ID: 1285612
Supervised local pattern discovery aims to find subsets of a database with a high statistical unusualness in the distribution of…
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2012
2012
Delta-SimRank computing on MapReduce
Liangliang Cao
,
Brian Cho
,
Hyun Duk Kim
,
Z. Li
,
Min-Hsuan Tsai
,
Indranil Gupta
BigMine '12
2012
Corpus ID: 14150528
Based on the intuition that "two objects are similar if they are related to similar objects", SimRank (proposed by Jeh and Widom…
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2002
2002
Learning for automatic personalization in a semantic taxonomy-based meta-search agent
Wooju Kim
,
L. Kerschberg
,
Anthony Scime
Electronic Commerce Research and Applications
2002
Corpus ID: 17222945
1998
1998
Aspects of network training and validation on noisy data - Part 1. Training aspects
E. Derks
,
L. Buydens
1998
Corpus ID: 62624963
Highly Cited
1996
Highly Cited
1996
Mapping Ecological Land Systems and Classification Uncertainties from Digital Elevation and Forest-Cover Data Using Neural Networks
P. Gong
,
R. Pu
,
J. Chen
1996
Corpus ID: 53991763
Our approaches in this project emphasized mainly the technical aspects of the land-systems classification problem with neural…
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1993
1993
Divide and Conquer Neural Networks
S. G. Romaniuk
,
L. Hall
Neural Networks
1993
Corpus ID: 42029595
1993
1993
Hierarchical artificial neural networks for edge enhancement
S. Lu
,
Anthony Szeto
Pattern Recognition
1993
Corpus ID: 20571672
1990
1990
Self-organization by delta rule
T. Hrycej
IJCNN International Joint Conference on Neural…
1990
Corpus ID: 40223184
In a certain two-layer network architecture, the delta learning rule leads to a self-organization of connection weights. A formal…
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