Add to ORKG"The purpose of this thesis is to develop and test new methods for data classification based on mathematical programming and nonsmooth optimization."Doctor of Philosoph
Data mining is about solving problems by analyzing data that present in databases. Supervised and un...
Abstract: Nonsmooth local optimization problems occur in many fields, including engineering, mathema...
Data mining is a modern area of science dealing with the learning from given data in order to make ...
The research presented in this thesis is two-fold: on the one hand, major data mining problems are r...
We reduce the supervised classification to solving a nonsmooth optimization problem. The proposed me...
We reduce the supervised classification to solving a nonsmooth optimization problem. The proposed me...
Problem statement: The aim of data classification is to establish rules for the classification of so...
We examine various methods for data clustering and data classification that are based on the minimiz...
This thesis is devoted to the development of algorithms for solving nonsmooth nonconvex problems. So...
Data mining aims at finding interesting, useful or profitable information in very large databases. T...
Doctor of PhilosophyComputational complexity in data mining is attributed to algorithms but lies hug...
We examine various methods for data clustering and data classification that are based on the minimiz...
Nonsmooth optimization provides efficient algorithms for solving many machine learning problems. In ...
In this paper, we develop a new algorithm for solving semi-supervised data classification problems. ...
International audienceNonsmoothness is often a curse for optimization; but it is sometimes a blessin...
Data mining is about solving problems by analyzing data that present in databases. Supervised and un...
Abstract: Nonsmooth local optimization problems occur in many fields, including engineering, mathema...
Data mining is a modern area of science dealing with the learning from given data in order to make ...
The research presented in this thesis is two-fold: on the one hand, major data mining problems are r...
We reduce the supervised classification to solving a nonsmooth optimization problem. The proposed me...
We reduce the supervised classification to solving a nonsmooth optimization problem. The proposed me...
Problem statement: The aim of data classification is to establish rules for the classification of so...
We examine various methods for data clustering and data classification that are based on the minimiz...
This thesis is devoted to the development of algorithms for solving nonsmooth nonconvex problems. So...
Data mining aims at finding interesting, useful or profitable information in very large databases. T...
Doctor of PhilosophyComputational complexity in data mining is attributed to algorithms but lies hug...
We examine various methods for data clustering and data classification that are based on the minimiz...
Nonsmooth optimization provides efficient algorithms for solving many machine learning problems. In ...
In this paper, we develop a new algorithm for solving semi-supervised data classification problems. ...
International audienceNonsmoothness is often a curse for optimization; but it is sometimes a blessin...
Data mining is about solving problems by analyzing data that present in databases. Supervised and un...
Abstract: Nonsmooth local optimization problems occur in many fields, including engineering, mathema...
Data mining is a modern area of science dealing with the learning from given data in order to make ...