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Decision boundary
Known as:
Decision surface
, Decision surfaces
In a statistical-classification problem with two classes, a decision boundary or decision surface is a hypersurface that partitions the underlying…
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Related topics
Related topics
11 relations
Artificial neural network
Backpropagation
Glossary of artificial intelligence
K-nearest neighbors algorithm
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Broader (1)
Statistical classification
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2014
2014
A Robust Classifier for Imbalanced Datasets
Sori Kang
,
K. Ramamohanarao
Pacific-Asia Conference on Knowledge Discovery…
2014
Corpus ID: 31644273
Imbalanced dataset classification is a challenging problem, since many classifiers are sensitive to class distribution so that…
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2013
2013
Multiple Access and Data Reconstruction in Wireless Sensor Networks Based on Compressed Sensing
Tong Xue
,
Xiaodai Dong
,
Yi Shi
IEEE Transactions on Wireless Communications
2013
Corpus ID: 23698510
This paper considers the application of compressed sensing (CS) to a wireless sensor network for data measurement communication…
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Highly Cited
2011
Highly Cited
2011
Feature extraction and classification of EEG for automatic seizure detection
Nidal Rafiuddin
,
Y. Khan
,
Omar Farooq
International Conference on Multimedia, Signal…
2011
Corpus ID: 18826184
One of the many challenges in the automated detection of epileptic seizures is to draw a line of demarcation between seizure…
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2008
2008
Validation criteria for enhanced fuzzy clustering
Asli Celikyilmaz
,
I. Türksen
Pattern Recognition Letters
2008
Corpus ID: 5330821
2007
2007
A Two-Step Classification Approach to Unsupervised Record Linkage
P. Christen
Australasian Data Mining Conference
2007
Corpus ID: 11127903
Linking or matching databases is becoming increasingly important in many data mining projects, as linked data can contain…
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Review
1996
Review
1996
Geometric Implications of the Naive Bayes Assumption
M. Peot
Conference on Uncertainty in Artificial…
1996
Corpus ID: 5838841
A Naive (or Idiot) Bayes network is a network with a single hypothesis node and several observations that are conditionally…
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Highly Cited
1995
Highly Cited
1995
Pattern classification with genetic algorithms
S. Bandyopadhyay
,
C. A. Murthy
,
S. Pal
Pattern Recognition Letters
1995
Corpus ID: 45661906
Highly Cited
1990
Highly Cited
1990
Automated design of linear tree classifiers
Youngtae Park
,
J. Sklansky
Pattern Recognition
1990
Corpus ID: 5492789
1990
1990
Robust Classifiers without Robust Features
A. Katz
,
M. Gately
,
D. Collins
Neural Computation
1990
Corpus ID: 39563884
We develop a two-stage, modular neural network classifier and apply it to an automatic target recognition problem. The data are…
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1988
1988
Phoneme Recognition: Neural Networks vs
A. Waibel
,
Hanazawa G. Hinton
,
Ic Shikano Ic
1988
Corpus ID: 62490901
neme recognition which is characterized by two important properties: 1.) Using a 3 layer arrangement of simple computing units…
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