title: Support Vector Machines Trained with Evolutionary Algorithms Employing Kernel Adatron for Large Scale Classification of Protein Structures.
abstract: With the increasing power of computers, the amount of data that can be processed in small periods of time has grown exponentially, as has the importance of classifying large-scale data efficiently. Support vector machines have shown good results classifying large amounts of high-dimensional data, such as data generated by protein structure prediction, spam recognition, medical diagnosis, optical character recognition and text classification, etc. Most state of the art approaches for large-scale learning use traditional optimization methods, such as quadratic programming or gradient descent, which makes the use of evolutionary algorithms for training support vector machines an area to be explored. The present paper proposes an approach that is simple to implement based on evolutionary algorithms and Kernel-Adatron for solving large-scale classification problems, focusing on protein structure prediction. The functional properties of proteins depend upon their three-dimensional structures. Knowing the structures of proteins is crucial for biology and can lead to improvements in areas such as medicine, agriculture and biofuels.
authors.affiliation: Centro Universitario de Ciencias Exactas e Ingenieras, Universidad de Guadalajara, Guadalajara, Jalisco, México.
authors.forename: Nancy
authors.initials: N
authors.lastname: Arana-Daniel
authors.affiliation: Centro Universitario de Ciencias Exactas e Ingenieras, Universidad de Guadalajara, Guadalajara, Jalisco, México.
authors.forename: Alberto A
authors.initials: AA
authors.lastname: Gallegos
authors.affiliation: Centro Universitario de Ciencias Exactas e Ingenieras, Universidad de Guadalajara, Guadalajara, Jalisco, México.
authors.forename: Carlos
authors.initials: C
authors.lastname: López-Franco
authors.affiliation: Centro Universitario de Ciencias Exactas e Ingenieras, Universidad de Guadalajara, Guadalajara, Jalisco, México.
authors.forename: Alma Y
authors.initials: AY
authors.lastname: Alanís
authors.affiliation: Centro Universitario de Ciencias Exactas e Ingenieras, Universidad de Guadalajara, Guadalajara, Jalisco, México.
authors.forename: Jacob
authors.initials: J
authors.lastname: Morales
authors.affiliation: Centro Universitario de Ciencias Exactas e Ingenieras, Universidad de Guadalajara, Guadalajara, Jalisco, México.
authors.forename: Adriana
authors.initials: A
authors.lastname: López-Franco
keywords: evolutionary algorithms; kernel-adatron; large scale learning; machine learning; protein structure prediction; support vector machines