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SVM for FT‐MIR prostate cancer classification: An alternative to the traditional methods
In this paper, principal component analysis (PCA), successive projections algorithm (SPA),
and genetic algorithm (GA) followed by support vector machines (SVM), combined with …
and genetic algorithm (GA) followed by support vector machines (SVM), combined with …
Vertical and horizontal DNA differential methylation analysis for predicting breast cancer
DNA methylation plays an important role for initiation and development of human cancers;
therefore, it is used as a biological marker for early detection of cancer. A huge number of …
therefore, it is used as a biological marker for early detection of cancer. A huge number of …
A new and fast correntropy-based method for system identification with exemplifications in low-SNR communications regime
One of the most significant issues in machine learning is system identification with many
applications, eg, channel estimation (CE) in digital communications. Introducing a new …
applications, eg, channel estimation (CE) in digital communications. Introducing a new …
[PDF][PDF] Polytomous Logistic Regression Based Random Forest Classifier for Diagnosing Cancer Disease
S Jeyasingh, M Veluchamy - Journal of Cancer Science and …, 2018 - researchgate.net
An early prediction of cancer disease is important for successful treatment. Recently, many
research works have been designed for classification of cancer diseases and early …
research works have been designed for classification of cancer diseases and early …
Comparación de algoritmos evolutivos para la optimización en la clasificación de la obesidad en escolares
ACA Rodríguez, CAT Naira, FMV Huyhua… - …, 2016 - revistaucmaule.ucm.cl
El estudio tiene por objetivo comparar tres tipos de algoritmos evolutivos diferentes: Real
Encoding Particle Swarm Optimization (REPSO–C), Incremental Learning with Genetic …
Encoding Particle Swarm Optimization (REPSO–C), Incremental Learning with Genetic …
[PDF][PDF] A Comparative Analysis of Learning Techniques for Cancer Risk Prediction based on Medical Textual Records
In this paper, we compare the performance of a variety of machine learning algorithms,
including supervised Naïve Bayes, J48, SVM, Random Tree, Random Forest, and non …
including supervised Naïve Bayes, J48, SVM, Random Tree, Random Forest, and non …