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Classification model with collinear grouping of features

Journal of information and telecommunication (Print), 2023-01, Vol.7 (1), p.73-88

2023

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Basis exchange and learning algorithms for extracting collinear patterns

Journal of information and telecommunication (Print), 2021-07, Vol.5 (3), p.334-349

2021

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Basis exchange and learning algorithms for extracting collinear patterns

Journal of information and telecommunication (Print), 2018-01, Vol.2 (1), p.53-67

2018

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Feature Selection with L1 Regularization in Formal Neurons

Engineering Applications of Neural Networks, 2024, p.343-353

2024

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Selection of genetic and phenotypic features associated with inflammatory status of patients on dialysis using relaxed linear separability method

PloS one, 2014-01, Vol.9 (1), p.e86630-e86630

2014

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Balancing High-Dimensional Datasets with Complex Layers

Engineering Applications of Neural Networks, 2023, Vol.1826, p.62-70

2023

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Complex Layers of Ranked Prognostic Models

Computational Collective Intelligence, 2023, Vol.14162, p.660-669

2023

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Complex Layers of Formal Neurons

Engineering Applications of Neural Networks, 2022, Vol.1600, p.81-89

2022

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Stepwise Inversion of Large Matrices with the Gauss-Jordan Vector Transformation

Journal of Advances in Mathematics and Computer Science, 2022-01, p.28-39

2022

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Collinear Data Structures and Interaction Models

Computational Collective Intelligence, 2022, Vol.13501, p.378-387

2022

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Complexes of Low Dimensional Linear Classifiers with L1 Margins

Intelligent Information and Database Systems, 2021, Vol.12672, p.29-40

2021

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Eigenvalue Problem with the Basis Exchange Algorithm

Journal of Advances in Mathematics and Computer Science, 2017-01, Vol.23 (6), p.1-12

Bobrowski, Leon

2017

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Large Matrices Inversion Using the Basis Exchange Algorithm

British journal of mathematics and computer science, 2017-01, Vol.21 (1), p.1-11

Bobrowski, Leon

2017

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Linear Regression Modeling of Interval-censored Survival Times Based on a Convex Piecewise-linear Criterion Function

Biocybernetics and biomedical engineering, 2012, Vol.32 (3), p.69-78

2012

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Small Samples of Multidimensional Feature Vectors

Advances in Computational Collective Intelligence, 2020, Vol.1287, p.87-98

2020

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Detection of Medial Vascular Calcification in Patients with CKD Using Cost-Effective Classifiers: TH-PO148

Journal of the American Society of Nephrology, 2024-10, Vol.35 (10S)

2024

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Linearizing layers of radial binary classifiers with movable centers

Pattern analysis and applications : PAA, 2015-11, Vol.18 (4), p.771-781

2015

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Designing prognostic models by reinforcing linear separation

Studies in health technology and informatics, 2013, Vol.186, p.36

Bobrowski, Leon

2013

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Local Models of Interaction on Collinear Patterns

Computational Collective Intelligence, 2019, Vol.11683, p.259-270

2019

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Collinearity Models in the Eigenvalue Problem

Intelligent Information and Database Systems, 2018, Vol.10751, p.402-409

2018

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Biclustering Based on Collinear Patterns

Bioinformatics and Biomedical Engineering, 2017, Vol.10208, p.134-144

2017

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Dipolar Data Integration Through Univariate, Binary Classifiers

Computational Collective Intelligence, 2017, Vol.10448, p.73-82

2017

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Linear Classifiers with the L1 Margin from a Small Number of High-Dimensional Vectors

Intelligent Information and Database Systems, 2020, Vol.12034, p.79-89

2020

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CPL Criterion Functions and Learning Algorithms Linked to the Linear Separability Concept

Engineering Applications of Neural Networks, 2013, p.456-465

2013

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Ranked linear models and sequential patterns recognition

Pattern analysis and applications : PAA, 2009-02, Vol.12 (1), p.1-7

Bobrowski, Leon

2009

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Classification model with collinear grouping of features

Basis exchange and learning algorithms for extracting collinear patterns

Basis exchange and learning algorithms for extracting collinear patterns

Feature Selection with L1 Regularization in Formal Neurons

Selection of genetic and phenotypic features associated with inflammatory status of patients on dialysis using relaxed linear separability method

Balancing High-Dimensional Datasets with Complex Layers

Complex Layers of Ranked Prognostic Models

Complex Layers of Formal Neurons

Stepwise Inversion of Large Matrices with the Gauss-Jordan Vector Transformation

Collinear Data Structures and Interaction Models

Complexes of Low Dimensional Linear Classifiers with L1 Margins

Eigenvalue Problem with the Basis Exchange Algorithm

Large Matrices Inversion Using the Basis Exchange Algorithm

Linear Regression Modeling of Interval-censored Survival Times Based on a Convex Piecewise-linear Criterion Function

Small Samples of Multidimensional Feature Vectors

Detection of Medial Vascular Calcification in Patients with CKD Using Cost-Effective Classifiers: TH-PO148

Linearizing layers of radial binary classifiers with movable centers

Designing prognostic models by reinforcing linear separation

Local Models of Interaction on Collinear Patterns

Collinearity Models in the Eigenvalue Problem

Biclustering Based on Collinear Patterns

Dipolar Data Integration Through Univariate, Binary Classifiers

Linear Classifiers with the L1 Margin from a Small Number of High-Dimensional Vectors

CPL Criterion Functions and Learning Algorithms Linked to the Linear Separability Concept

Ranked linear models and sequential patterns recognition

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