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Manifold öğrenme yöntemlerinin ileri seviye regresyon yöntemleri ile genelleştirilmesi
Translated title of the contribution
:
Extension to manifold learning methods via advanced regression methods
Gülşen Taşkın
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Corresponding author for this work
Disaster Management Institute
Research output
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peer-review
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Citation (Scopus)
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Keyphrases
Regression Method
100%
Advanced Regression
100%
Manifold Learning Method
100%
Low-dimensional Space
71%
Training Data
28%
Classification Task
28%
Embedding Function
28%
Computational Burden
14%
Hyperspectral Image Classification
14%
Projection Matrix
14%
Learning Process
14%
Generalized Solution
14%
Graphical Method
14%
High-dimensional Data
14%
High-dimensional Space
14%
Nonlinear Transformation
14%
Previous Training
14%
Nonlinear Dimensionality Reduction
14%
Nonlinear Manifold
14%
Computer Science
Lower Dimensional Space
100%
Regression Method
100%
Training Data
40%
Classification Task
40%
Hyperspectral Image
20%
Projection Matrix
20%
Dimensionality Reduction
20%
High Dimensional Data
20%
Nonlinear Transformation
20%
Learning Process
20%
Dimensional Space
20%
Generalized Solution
20%
Mathematics
Manifold
100%
Dimensional Space
75%
Test Data
50%
Training Data
25%
Sample Problem
12%
Dimensionality Reduction
12%
Dimensional Data
12%
Projection Matrix
12%
Generalized Solution
12%
Engineering
Dimensional Space
100%
Test Data
66%
Classification Task
33%
Embedding Function
33%
Generalized Solution
16%
Dimensionality
16%
Dimensional Data
16%
Hyperspectral Image
16%