This book constitutes the thoroughly refereed joint post-conference proceedings of two consecutive International Workshops ...
Lire la suiteIt covers unsupervised, semisupervised and active learning, statistical learning theory, inductive inference, regularized ...
Lire la suiteThe papers cover current issues of machine learning, artificial intelligence, mathematical programming and algorithms for ...
Lire la suiteThe IFIP series publishes state-of-the-art results in the sciences and technologies of information and communication. The ...
Lire la suiteComplementarity theory, a relatively new domain in applied mathematics, has deep connections with several aspects of fundamental ...
Lire la suiteComplementarity theory, a relatively new domain in applied mathematics, has deep connections with several aspects of fundamental ...
Lire la suiteSince its inception in 1974, the level crossing approach for analyzing a large class of stochastic models has become increasingly ...
Lire la suiteThis book constitutes the thoroughly refereed post-proceedings of the First International Symposium on Leveraging Applications ...
Lire la suiteLinear Genetic Programming examines the evolution of imperative computer programs written as linear sequences of instructions. ...
Lire la suiteThebookisbasedonseveralyearsofexperienceofbothauthorsinteaching linear models at various levels. It gives an up-to-date account ...
Lire la suiteThis book begins with a reflection on the history of test design--the core activity of all educational and psychological ...
Lire la suiteLinear programming attracted the interest of mathematicians during and after World War II when the first computers were constructed ...
Lire la suiteLinear programming attracted the interest of mathematicians during and after World War II when the first computers were constructed ...
Lire la suiteLinear Programming: Foundations and Extensions is an introduction to the field of optimization. The book emphasizes constrained ...
Lire la suiteThis book presents a unified treatment of linear programming. Without sacrificing mathematical rigor, the main emphasis of ...
Lire la suiteThis book covers two major classes of mixed effects models—linear mixed models and generalized linear mixed models—and ...
Lire la suiteThis book covers two major classes of mixed effects models, linear mixed models and generalized linear mixed models, and ...
Lire la suite"Linear and Nonlinear Programming" is considered a classic textbook in Optimization. While it is a classic, it also reflects ...
Lire la suiteThe whole volume consisting of 19 chapters is divided into 3 parts: Models and Theories; Operators and Frameworks; Applications. ...
Lire la suiteAlthough modern location theory is now more than 90 years old, the focus of researchers in this area has been mainly problem ...
Lire la suite