Multifractal analysis and support vector machine for the classification of coronaviruses and SARS-CoV-2 variants. [PDF]
Correia JP, Silva LRD, Silva R.
europepmc +1 more source
ChromoCheck: Predicting Postnatal Chromosomal Trisomy Cases Using a Support Vector Machine Learning Model. [PDF]
Al-Mahrami N +4 more
europepmc +1 more source
A Real-Time Epilepsy Detection Method Using Embedded Zero Tree Wavelet Approach and Support Vector Machine. [PDF]
Padmapriya P, Rajamani V.
europepmc +1 more source
An optimized support vector machine for lung cancer classification system. [PDF]
Oyediran MO +4 more
europepmc +1 more source
RETRACTION: "Developing a Novel Method for Estimating the Speed of Sound in Biodiesel Known as Grey Wolf Optimizer Support Vector Machine Algorithm". [PDF]
International BR.
europepmc +1 more source
In Silico Transcriptomic Analysis for Identification of Potential Diagnostic and Prognostic Biomarkers and Therapeutic Targets in Cervical Cancer using a Hybrid Genetic Algorithm-Support Vector Machine Approach. [PDF]
Nezamabadi Farahani L +3 more
europepmc +1 more source
Erratum: Support Vector Machine Identification of Small Molecule Binders to an Understudied Allosteric Site of SARS-CoV-2 Mpro for Next-Generation PROTAC-Based Therapeutics. [PDF]
europepmc +1 more source
Related searches:
This paper considers the implementation of Support Vector Machines (SVM), the new extensive class of data analysis methods. SVM have a number of advantages as compared with standard data mining techniques like artificial neural networks, for example. In the paper this methodology is described in details and implemented in A+ programming language in the
Alexander O. Skomorokhov +1 more
openaire +1 more source
Wavelet support vector machine [PDF]
An admissible support vector (SV) kernel (the wavelet kernel), by which we can construct a wavelet support vector machine (SVM), is presented. The wavelet kernel is a kind of multidimensional wavelet function that can approximate arbitrary nonlinear functions. The existence of wavelet kernels is proven by results of theoretic analysis.
Li Zhang, Licheng Jiao, Weida Zhou
exaly +4 more sources

