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Margin classifier
In machine learning, a margin classifier is a classifier which is able to give an associated distance from the decision boundary for each example…
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Related topics
Related topics
15 relations
AdaBoost
Boosting (machine learning)
BrownBoost
Euclidean distance
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Broader (1)
Statistical classification
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Maximum Peak-Gain Margin (Mp-GM) Tuning Method for Two Degree of Freedom PID Controller
J. P. Sutikno
,
Nur Hidayah
,
R. Handogo
PID Control for Industrial Processes
2018
Corpus ID: 56396443
The specification of controller setting for a standard controller typically requires a trade-off between set point tracking and…
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2017
2017
Chip package interaction with Cu Pillar interconnects - systematic study of key factors impacting the qualification
B. Boehme
,
D. Breuer
,
+5 authors
Michael Thiele
IMAPS Nordic Conference on Microelectronics…
2017
Corpus ID: 22245250
Advanced silicon technology nodes are using backend of line (BEOL) stacks consisting of ultra low-k (ULK) materials. ULK…
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2013
2013
ROUND POTATO PRODUCTION IN SOUTHERN HIGHLANDS OF TANZANIA: MARKET PREFERENCES, FARMERS' VARIETY SELECTION, AND PROFITABILITY
Hosea Mpogole
2013
Corpus ID: 154311444
Poverty Alleviation (REPOA) and the Tanzania Higher Education Students‟ Loans Board (HESLB)
2005
2005
Analysis of Generic Perceptron-Like Large Margin Classifiers
Petroula Tsampouka
,
J. Shawe-Taylor
European Conference on Machine Learning
2005
Corpus ID: 45552490
We analyse perceptron-like algorithms with margin considering both the standard classification condition and a modified one which…
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2005
2005
Perceptron-like large margin classifiers
Petroula Tsampouka
2005
Corpus ID: 5642689
We consider perceptron-like algorithms with margin in which the standard classification condition is modified to require a…
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2003
2003
Extending DTGOLOG with options
A. Ferrein
,
Christian Fritz
,
G. Lakemeyer
International Joint Conference on Artificial…
2003
Corpus ID: 2431211
2002
2002
Incremental Learning Algorithms for Classification and Regression: local strategies
Florence d'Alché-Buc
,
L. Ralaivola
2002
Corpus ID: 17048981
We present a new local strategy to solve incremental learning tasks. It allows to avoid re‐learning of all the parameters by…
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2000
2000
Phosphorus concentrations and geochemistry in California margin sediments
M. Delaney
,
L. Anderson
2000
Corpus ID: 55118743
The ocean history of reactive phosphorus (P) (i.e., dissolved P available to fuel oceanic primary productivity) is of interest…
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1999
1999
Bayes Optimal Hyperplanes ! Maximal Margin Hyperplanes
Simon Tong
1999
Corpus ID: 14650140
Maximal margin classifiers are a core technology in modern machine learning. They have strong theoretical justifications and have…
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Review
1982
Review
1982
The Occurrence of Deep Water Glaucony from the Eastern Pacific: The Result of In Situ Genesis or Subsidence?
G. Odin
,
J. Stephan
1982
Corpus ID: 13847245
During the analysis of "glaucony" recovered during Leg 66, off Mexico, we reviewed the data on previously studied glaucony layers…
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