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Multi-task twin support vector machine with Universum data
Main topics of the document: support vector machine; classification; quadratic optimization...
Statistics and probability
- 2024 •
- Jimp •
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Jimp - Článek v periodiku v databázi Web of Science
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Support Vector Machines (SVM)
Principles of Support Vector Machines (SVM) methods, Vapnik-Chervonenkis distance, construction and propertie of kernels and properties of SVM-models a their prediction....
BB - Aplikovaná statistika, operační výzkum
- 2011 •
- D
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D - Stať ve sborníku
Predicting Default Probability of Bank's Corporate Clients in the Czech Republic. Comparison of Generalized Additive Models and Support Vector Machine Approaches
Main topics of the document: probability of default; generalized additive model; support vector machine...
Applied Economics, Econometrics
- 2020 •
- D •
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Combining Support Vector Machines by Means of Fuzzy Aggregation
The paper deals with a recently proposed approach to combining classifiers by means of fuzzy aggregation. New theoretical results are presented and the approach is elaborated specifically for support vector machines....
IN - Informatika
- 2007 •
- D
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D - Stať ve sborníku
A lagrangian-based approach for universum twin bounded support vector machine with its applications
Main topics of the document: support vector machine; twin SVM; universum data; pattern classification; lagrangian function; quadratic programming......
Statistics and probability
- 2023 •
- Jimp •
- Link
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Jimp - Článek v periodiku v databázi Web of Science
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Support vector machine methods and artificial neural networks used for the development of bankruptcy prediction models and their comparison
The objective of this paper is to create a model for predicting potential bankruptcy of companies using suitable classification methods, namely Support Vector Machine and artificial neural networks, and to evaluate the resu...
Economics and Business
- 2020 •
- Jimp •
- Link
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Jimp - Článek v periodiku v databázi Web of Science
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Using Support Vector Machines in Fuzzy Classification
In this work we propose a new method for fuzzy classification based on the soft margin support vector machines classifier (C-SVM). The decision boundary and slack variables obtained from C-SVM are used for the definition of...
IN - Informatika
- 2007 •
- D
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D - Stať ve sborníku
Methods for modeling the probability of default of the bank's corporate clients
Basic themes of document: probability of default; support vector machine; decision tree...
Applied Economics, Econometrics
- 2020 •
- D •
- Link
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Forecasting Volatility of Energy Commodities: Comparison of GARCH Models with Support Vector Regression
Main topics of the document: energy commodities; futures contracts; volatility; forecasting; GARCH models; support vector regression; machine learning......
Finance
- 2021 •
- Jimp •
- Link
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Jimp - Článek v periodiku v databázi Web of Science
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Blind Watermark Approach for Map Authentication Using Support Vector Machine
This paper presents a blind and robust watermark approach for authentication 2D Map based on polar coordinates mapping and support vector machine is presented. Then, in the support vector machine ...
IN - Informatika
- 2013 •
- D •
- Link
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D - Stať ve sborníku
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