[PDF][PDF] The effect of gamma value on support vector machine performance with different kernels
Currently, the support vector machine (SVM) regarded as one of supervised machine
learning algorithm that provides analysis of data for classification and regression. This …
learning algorithm that provides analysis of data for classification and regression. This …
Performance evaluation of kernels in support vector machine
Recently, the Support Vector Machine (SVM) algorithm becomes very common technique
that developed for pattern classification. This technique has been employed in many fields …
that developed for pattern classification. This technique has been employed in many fields …
Prediction of Zenith tropospheric delay in GNSS observations using support vector regression
Modelling of tropospheric delay has a crucial place in the Global Navigation Satellite System
(GNSS) as well as atmospheric and space research. Until now, many different modelling put …
(GNSS) as well as atmospheric and space research. Until now, many different modelling put …
An Arabic visual dataset for visual speech recognition
Visual speech recognition (VSR) has received increasing attention in recent decades due to
its potential uses in many applications. As for any recognition system, useful materials for …
its potential uses in many applications. As for any recognition system, useful materials for …
Comparison of kernel function on support vector machine in classification of childbirth
The maternal mortality rate during childbirth can be reduced through the efforts of the
medical team in determining the childbirth process that must be undertaken immediately …
medical team in determining the childbirth process that must be undertaken immediately …
Comparative analysis of classification models for pima dataset
Nowadays the amount of data is rapidly increasing. For example, in 2019, International
Telecommunication Union ITU states that the number of Internet users has become about …
Telecommunication Union ITU states that the number of Internet users has become about …
Assessment of machine learning algorithms in land use classification
Map** land use and change detection is the most used application of remote sensing
data. In this paper, Landsat 8 OLI/TIRS images were to extract land use maps using support …
data. In this paper, Landsat 8 OLI/TIRS images were to extract land use maps using support …
Rolling Bearing Fault Diagnostics Using SSA-ELM and TVF-EMD Multi-Scale Entropy
S Song, G Wu, W Wang - 2024 7th International Conference on …, 2024 - ieeexplore.ieee.org
In order to address the issues with the traditional intelligent algorithm for optimizing ELM
parameters-such as slow optimization speed, many adjustment parameters, and easy fall …
parameters-such as slow optimization speed, many adjustment parameters, and easy fall …
Extracted summary based recommendation system for indian legal documents
Law practitioners of a Common Law legal system are often tasked with finding legal
documents similar to the case at hand. However, Indian legal case documents are verbose …
documents similar to the case at hand. However, Indian legal case documents are verbose …
[PDF][PDF] A COMPARATIVE STUDY OF MACHINE LEARNING TECHNIQUES FOR HAND GESTURE RECOGNITION TO GUIDE MULTIMEDIA OPERATION
Hand recognition for gestures has significance role in human-computer interaction. Working
with a computer in some manner is a frequent task in these days. In most cases, the …
with a computer in some manner is a frequent task in these days. In most cases, the …