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Calculations of eta-nuclear quasi-bound states in few-body systems
We report on our Stochastic Variational Method (SVM) calculations of eta-nuclear quasi-bound states in s-shell nuclei as well as the very recent calculation of the p-shell nucleus Li-6. The eta N potentials used were constr...
Atomic, molecular and chemical physics (physics of atoms and molecules including collision, interaction with radiation, magnetic resonances, Mössbauer effect)
- 2019 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
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
Rok uplatnění
D - Stať ve sborníku
Using SVM and clustering algorithms in IDS systems
of application of clustering algorithms and Support Vector Machines (SVM) for use and SVM as classification SVM of type 1, known too as C-SVM. By appropriate choosing of kernel and SVM parameters we achie...
IN - Informatika
- 2011 •
- D
Rok uplatnění
D - Stať ve sborníku
SVM of three-phase 4Q active current-source rectifier - description of modulator and control algorithm
This research report deals with a description of SVM modulator and SVM modulation in general focused on three phase 4Q active current-source rectifier. In the report, specifics of rectifier operation with load current reversal based...
JA - Elektronika a optoelektronika, elektrotechnika
- 2015 •
- O •
- Link
Rok uplatnění
O - Ostatní výsledky
Výsledek na webu
Support Vector Machines as Probabilistic Models
We show how the SVM can be viewed as a maximum likelihood estimate of a class of probabilistic models. This model class can be viewed as a reparametrization of the SVM in a similar vein to the v-SVM reparametrizing the clas...
JD - Využití počítačů, robotika a její aplikace
- 2011 •
- D
Rok uplatnění
D - Stať ve sborníku
Comparison of support vector machines (SVMs) and the learning vector quantization (LVQ) techniques for geological domaining: a case study from Darehzar porphyry copper deposit, SE Iran
Machine (SVM), a widely accepted classification method in implicit domaining. The overall classification accuracy of LVQ1, LVQ2, LVQ3, and SVM is 90%, 90%, 91%, and 98%, respectively. Furthermore, the calculation time of t...
Geology
- 2024 •
- Jimp •
- Link
Rok uplatnění
Jimp - Článek v periodiku v databázi Web of Science
Výsledek na webu
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 a new op...
IN - Informatika
- 2007 •
- D
Rok uplatnění
D - Stať ve sborníku
Improving clinical refractive results of cataract surgery by machine learning
(SVM-RM) and Multilayer Neural Network Ensemble model (MLNN-EM) to improve the intraocular lens (IOL) power calculation for clinical workflow. Background: Current IOL power calculation methods are limited in their accuracy...
Ophthalmology
- 2019 •
- Jimp •
- Link
Rok uplatnění
Jimp - Článek v periodiku v databázi Web of Science
Výsledek na webu
Feature construction and parameter setting for Support Vector Machines
Support Vector Machines (SVM) are a machine learning algorithm that can be used for both classification and regression problems. In this paper, we focus on two problems with SVM. First, we concentrate on the parameter setting of
IN - Informatika
- 2003 •
- D
Rok uplatnění
D - Stať ve sborníku
Wages Forecasting Using Box ? Jenkins Methodology and an SVM Machine
The purpose of the paper is to demonstrate the overall developing steps of the Box-Jenkins time series modeling and the SVM´s modelling approach. are used for comparison ARMA modeling with SVM (Support Vector Machine). We provide th...
AH - Ekonomie
- 2008 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
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