Genome-wide association study statistical models: A review
M Yoosefzadeh-Najafabadi, M Eskandari… - Genome-Wide …, 2022 - Springer
Statistical models are at the core of the genome-wide association study (GWAS). In this
chapter, we provide an overview of single-and multilocus statistical models, Bayesian, and …
chapter, we provide an overview of single-and multilocus statistical models, Bayesian, and …
Epileptic seizure detection using hybrid machine learning methods
The aim of this study is to establish a hybrid model for epileptic seizure detection with
genetic algorithm (GA) and particle swarm optimization (PSO) to determine the optimum …
genetic algorithm (GA) and particle swarm optimization (PSO) to determine the optimum …
A GA-based feature selection and parameters optimizationfor support vector machines
CL Huang, CJ Wang - Expert Systems with applications, 2006 - Elsevier
Support Vector Machines, one of the new techniques for pattern classification, have been
widely used in many application areas. The kernel parameters setting for SVM in a training …
widely used in many application areas. The kernel parameters setting for SVM in a training …
Credit scoring with a data mining approach based on support vector machines
CL Huang, MC Chen, CJ Wang - Expert systems with applications, 2007 - Elsevier
The credit card industry has been growing rapidly recently, and thus huge numbers of
consumers' credit data are collected by the credit department of the bank. The credit scoring …
consumers' credit data are collected by the credit department of the bank. The credit scoring …
Prediction model building and feature selection with support vector machines in breast cancer diagnosis
CL Huang, HC Liao, MC Chen - Expert Systems with Applications, 2008 - Elsevier
Breast cancer is a serious problem for the young women of Taiwan. Some medical
researches have proved that DNA viruses are one of the high-risk factors closely related to …
researches have proved that DNA viruses are one of the high-risk factors closely related to …
Prostate cancer characterization on MR images using fractal features
Purpose: Computerized detection of prostate cancer on T2‐weighted MR images. Methods:
The authors combined fractal and multifractal features to perform textural analysis of the …
The authors combined fractal and multifractal features to perform textural analysis of the …
Fuzzy portfolio optimization
P Gupta, MK Mehlawat, M Inuiguchi… - Studies in fuzziness and …, 2014 - Springer
STUDFUZZ 316 - Fuzzy Portfolio Optimization Page 1 Fuzzy Portfolio Optimization Pankaj Gupta
Mukesh Kumar Mehlawat Masahiro Inuiguchi Suresh Chandra Advances in Hybrid Multi-criteria …
Mukesh Kumar Mehlawat Masahiro Inuiguchi Suresh Chandra Advances in Hybrid Multi-criteria …
Predication of Parkinson's disease using data mining methods: A comparative analysis of tree, statistical and support vector machine classifiers
G Yadav, Y Kumar, G Sahoo - 2012 National Conference on …, 2012 - ieeexplore.ieee.org
The prediction of Parkinson's disease in early age has been challenging task among
researchers because the symptoms of disease come into existence in middle and late …
researchers because the symptoms of disease come into existence in middle and late …
Asset portfolio optimization using support vector machines and real-coded genetic algorithm
P Gupta, MK Mehlawat, G Mittal - Journal of Global Optimization, 2012 - Springer
This paper presents an integrated approach for portfolio selection in a multicriteria decision
making framework. Firstly, we use Support Vector Machines for classifying financial assets in …
making framework. Firstly, we use Support Vector Machines for classifying financial assets in …
The optimization of the kind and parameters of kernel function in KPCA for process monitoring
M Jia, H Xu, X Liu, N Wang - Computers & Chemical Engineering, 2012 - Elsevier
Kernel principal component analysis (KPCA) has been widely used in chemical processes
monitoring due to its simple principle. However, how to select the kind and parameters of …
monitoring due to its simple principle. However, how to select the kind and parameters of …