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20 papers · ranked by Valyu relevance

01
PPubMed6 Jan 2017
SVM and SVM Ensembles in Breast Cancer Prediction SVM and SVM Ensembles in Breast Cancer Prediction
Min-Wei Huang, Chih-Wen Chen, Wei-Chao Lin, Shih-Wen Ke + 2 more
'Chih-Fong Tsai' 'Enrique Hernandez-Lemus'] Breast cancer is an all too common disease in women, making how to effectively predict it an active research problem. A number of statistical and machine learning techniques have been employed to develop various breast cancer prediction models. Among them, support vector…
97relevance
02
PPubMed3 Nov 2014
An SVM-Based Classifier for Estimating the State of Various Rotating Components in Agro-Industrial Machinery with a Vibration Signal Acquired from a Single Point on the Machine Chassis
Ruben Ruiz-Gonzalez, Jaime Gomez-Gil, Francisco Javier Gomez-Gil, Víctor Martínez-Martínez
'Víctor Martínez-Martínez'] The goal of this article is to assess the feasibility of estimating the state of various rotating components in agro-industrial machinery by employing just one vibration signal acquired from a single point on the machine chassis. To do so, a Support Vector Machine (SVM)-based system is…
95relevance
03
PPubMed26 Sep 2006
Support Vector Machine Implementations for Classification & Clustering
Stephen Winters-Hilt, Anil Yelundur, Charlie McChesney, Matthew Landry
'Matthew Landry'] Background We describe Support Vector Machine (SVM) applications to classification and clustering of channel current data. SVMs are variational-calculus based methods that are constrained to have structural risk minimization (SRM), i.e., they provide noise tolerant solutions for pattern recognition.…
94relevance
04
PPubMed9 Nov 2007
Glycosylation site prediction using ensembles of Support Vector Machine classifiers
Cornelia Caragea, Jivko Sinapov, Adrian Silvescu, Drena Dobbs + 1 more
'Vasant Honavar'] Background Glycosylation is one of the most complex post-translational modifications (PTMs) of proteins in eukaryotic cells. Glycosylation plays an important role in biological processes ranging from protein folding and subcellular localization, to ligand recognition and cell-cell interactions.…
92relevance
05
PPubMed12 Nov 2021
Do Support Vector Machines Play a Role in Stratifying Patient Population Based on Cancer Biomarkers?
Ben Lanza, Deepak Parashar
Biomarkers are known to be the key driver behind targeted cancer therapies by either stratifying the patients into risk categories or identifying patient subgroups most likely to benefit. However, the ability of a biomarker to stratify patients relies heavily on the type of clinical endpoint data being collected. Of…
91relevance
06
PPubMed26 Feb 2024
A distance-based kernel for classification via Support Vector Machines
Nazhir Amaya-Tejera, Margarita Gamarra, Jorge I. Vélez, Eduardo Zurek
Support Vector Machines (SVMs) are a type of supervised machine learning algorithm widely used for classification tasks. In contrast to traditional methods that split the data into separate training and testing sets, here we propose an innovative approach where subsets of the original data are randomly selected to…
91relevance
07
PPubMed1 Nov 2007
SVM clustering
Stephen Winters-Hilt, Sam Merat
Background Support Vector Machines (SVMs) provide a powerful method for classification (supervised learning). Use of SVMs for clustering (unsupervised learning) is now being considered in a number of different ways. Results An SVM-based clustering algorithm is introduced that clusters data with no a priori knowledge of…
91relevance
08
PPubMed23 Feb 2015
The Construction of Support Vector Machine Classifier Using the Firefly Algorithm
Chih-Feng Chao, Ming-Huwi Horng
The setting of parameters in the support vector machines (SVMs) is very important with regard to its accuracy and efficiency. In this paper, we employ the firefly algorithm to train all parameters of the SVM simultaneously, including the penalty parameter, smoothness parameter, and Lagrangian multiplier. The proposed…
91relevance
09
PPubMed6 Sep 2024
Forecasting for Haditha reservoir inflow in the West of Iraq using Support Vector Machine (SVM) Forecasting for Haditha reservoir inflow using Support Vector Machine
Othman A. Mahmood, Sadeq Oleiwi Sulaiman, Dhiya Al-Jumeily, Sandeep Samantaray
'Sandeep Samantaray'] Accurate inflow forecasting is an essential non-engineering strategy to guarantee flood management and boost the effectiveness of the water supply. As inflow is the primary reservoir input, precise inflow forecasting may also offer appropriate reservoir design and management assistance. This study…
91relevance
10
PPubMed11 Sep 2014
Performance Evaluation of the Machine Learning Algorithms Used in Inference Mechanism of a Medical Decision Support System
Mert Bal, M. Fatih Amasyali, Hayri Sever, Guven Kose + 1 more
The importance of the decision support systems is increasingly supporting the decision making process in cases of uncertainty and the lack of information and they are widely used in various fields like engineering, finance, medicine, and so forth, Medical decision support systems help the healthcare personnel to select…
90relevance
11
PPubMed12 Mar 2018
Using Support Vector Machine on EEG for Advertisement Impact Assessment
Zhen Wei, Chao Wu, Xiaoyi Wang, Akara Supratak + 2 more
The advertising industry depends on an effective assessment of the impact of advertising as a key performance metric for their products. However, current assessment methods have relied on either indirect inference from observing changes in consumer behavior after the launch of an advertising campaign, which has long…
90relevance
12
PPubMed13 Apr 2022
Weighted <i> p </i> -norm distance t kernel SVM classification algorithm based on improved polarization
Wenbo Liu, Shengnan Liang, Xiwen Qin
The kernel function in SVM enables linear segmentation in a feature space for a large number of linear inseparable data. The kernel function that is selected directly affects the classification performance of SVM. To improve the applicability and classification prediction effect of SVM in different areas, in this…
90relevance
13
PPubMed12 Dec 2006
SVM Classifier – a comprehensive java interface for support vector machine classification of microarray data
Mehdi Pirooznia, Youping Deng
Motivation Graphical user interface (GUI) software promotes novelty by allowing users to extend the functionality. SVM Classifier is a cross-platform graphical application that handles very large datasets well. The purpose of this study is to create a GUI application that allows SVM users to perform SVM training…
89relevance
14
PPubMed29 Oct 2013
Determination of Fetal State from Cardiotocogram Using LS-SVM with Particle Swarm Optimization and Binary Decision Tree
Ersen Yılmaz, Çağlar Kılıkçıer
We use least squares support vector machine (LS-SVM) utilizing a binary decision tree for classification of cardiotocogram to determine the fetal state. The parameters of LS-SVM are optimized by particle swarm optimization. The robustness of the method is examined by running 10-fold cross-validation. The performance of…
88relevance
15
PPubMed15 Jul 2008
Kernel Based Nonlinear Dimensionality Reduction and Classification for Genomic Microarray
Xuehua Li, Lan Shu
Genomic microarrays are powerful research tools in bioinformatics and modern medicinal research because they enable massively-parallel assays and simultaneous monitoring of thousands of gene expression of biological samples. However, a simple microarray experiment often leads to very high-dimensional data and a huge…
87relevance
16
PPubMed27 Feb 2025
Prediction and Detection of Localised Corrosion Attack of Stainless Steel in Biogas Production: A Machine Learning Classification Approach
María Jesús Jiménez-Come, Francisco Javier González Gallero, Pascual Álvarez Gómez, Victoria Matres + 2 more
'Pascual Álvarez Gómez' 'Victoria Matres' 'Ming Liu' 'Ziyuan Zhao'] Biogas contributes to environmental protection by reducing greenhouse gas emissions and promoting the recycling of organic waste. Its utilization plays a crucial role in addressing the challenges of climate change and sustainability. However, the…
86relevance
17
PPubMed31 Dec 2014
Predicting breast cancer using an expression values weighted clinical classifier
Minta Thomas, Kris De Brabanter, Johan AK Suykens, Bart De Moor
Background Clinical data, such as patient history, laboratory analysis, ultrasound parameters-which are the basis of day-to-day clinical decision support-are often used to guide the clinical management of cancer in the presence of microarray data. Several data fusion techniques are available to integrate genomics or…
86relevance
18
PPubMed15 Nov 2023
Enhancing COVID-19 Classification Accuracy with a Hybrid SVM-LR Model
Noor Ilanie Nordin, Wan Azani Mustafa, Muhamad Safiih Lola, Elissa Nadia Madi + 7 more
'Elissa Nadia Madi' 'Anton Abdulbasah Kamil' 'Marah Doly Nasution' 'Abdul Aziz K. Abdul Hamid' 'Nurul Hila Zainuddin' 'Elayaraja Aruchunan' 'Mohd Tajuddin Abdullah' 'Antonio Brunetti'] Support ector achine (SVM) is a newer machine learning algorithm for classification, while logistic regression (LR) is an older…
86relevance
19
PPubMed12 Dec 2006
Parallelization of multicategory support vector machines (PMC-SVM) for classifying microarray data
Chaoyang Zhang, Peng Li, Arun Rajendran, Youping Deng + 1 more
Background Multicategory Support Vector Machines (MC-SVM) are powerful classification systems with excellent performance in a variety of data classification problems. Since the process of generating models in traditional multicategory support vector machines for large datasets is very computationally intensive, there…
82relevance
20
PPubMed27 Aug 2020
A novel machine learning strategy for model selections - Stepwise Support Vector Machine (StepSVM) Stepwise Support Vector Machine (StepSVM)
Chao-Yu Guo, Yu-Chin Chou, Ruxandra Stoean
An essential aspect of medical research is the prediction for a health outcome and the scientific identification of important factors. As a result, numerous methods were developed for model selections in recent years. In the era of big data, machine learning has been broadly adopted for data analysis. In particular…
81relevance

Results for support vector machine

SVM and SVM Ensembles in Breast Cancer Prediction SVM and SVM Ensembles in Breast Cancer Prediction

An SVM-Based Classifier for Estimating the State of Various Rotating Components in Agro-Industrial Machinery with a Vibration Signal Acquired from a Single Point on the Machine Chassis

Support Vector Machine Implementations for Classification & Clustering

Glycosylation site prediction using ensembles of Support Vector Machine classifiers

Do Support Vector Machines Play a Role in Stratifying Patient Population Based on Cancer Biomarkers?

A distance-based kernel for classification via Support Vector Machines

SVM clustering

The Construction of Support Vector Machine Classifier Using the Firefly Algorithm

Forecasting for Haditha reservoir inflow in the West of Iraq using Support Vector Machine (SVM) Forecasting for Haditha reservoir inflow using Support Vector Machine

Performance Evaluation of the Machine Learning Algorithms Used in Inference Mechanism of a Medical Decision Support System

Using Support Vector Machine on EEG for Advertisement Impact Assessment

Weighted <i> p </i> -norm distance t kernel SVM classification algorithm based on improved polarization

SVM Classifier – a comprehensive java interface for support vector machine classification of microarray data

Determination of Fetal State from Cardiotocogram Using LS-SVM with Particle Swarm Optimization and Binary Decision Tree

Kernel Based Nonlinear Dimensionality Reduction and Classification for Genomic Microarray

Prediction and Detection of Localised Corrosion Attack of Stainless Steel in Biogas Production: A Machine Learning Classification Approach

Predicting breast cancer using an expression values weighted clinical classifier

Enhancing COVID-19 Classification Accuracy with a Hybrid SVM-LR Model

Parallelization of multicategory support vector machines (PMC-SVM) for classifying microarray data

A novel machine learning strategy for model selections - Stepwise Support Vector Machine (StepSVM) Stepwise Support Vector Machine (StepSVM)

SVM and SVM Ensembles in Breast Cancer Prediction SVM and SVM Ensembles in Breast Cancer Prediction

An SVM-Based Classifier for Estimating the State of Various Rotating Components in Agro-Industrial Machinery with a Vibration Signal Acquired from a Single Point on the Machine Chassis

Support Vector Machine Implementations for Classification & Clustering

Glycosylation site prediction using ensembles of Support Vector Machine classifiers

Do Support Vector Machines Play a Role in Stratifying Patient Population Based on Cancer Biomarkers?

A distance-based kernel for classification via Support Vector Machines

SVM clustering

The Construction of Support Vector Machine Classifier Using the Firefly Algorithm

Forecasting for Haditha reservoir inflow in the West of Iraq using Support Vector Machine (SVM) Forecasting for Haditha reservoir inflow using Support Vector Machine

Performance Evaluation of the Machine Learning Algorithms Used in Inference Mechanism of a Medical Decision Support System

Using Support Vector Machine on EEG for Advertisement Impact Assessment

Weighted <i> p </i> -norm distance t kernel SVM classification algorithm based on improved polarization

SVM Classifier – a comprehensive java interface for support vector machine classification of microarray data

Determination of Fetal State from Cardiotocogram Using LS-SVM with Particle Swarm Optimization and Binary Decision Tree

Kernel Based Nonlinear Dimensionality Reduction and Classification for Genomic Microarray

Prediction and Detection of Localised Corrosion Attack of Stainless Steel in Biogas Production: A Machine Learning Classification Approach

Predicting breast cancer using an expression values weighted clinical classifier

Enhancing COVID-19 Classification Accuracy with a Hybrid SVM-LR Model

Parallelization of multicategory support vector machines (PMC-SVM) for classifying microarray data

A novel machine learning strategy for model selections - Stepwise Support Vector Machine (StepSVM) Stepwise Support Vector Machine (StepSVM)