The KDXD 2006 (Knowledge Discovery from XML Documents) workshop is the ?rst international workshop running this year in conjunction ...
Lire la suiteThis open access volume constitutes the refereed proceedings of the 27th biennial conference of the German Society for Computational ...
Lire la suiteEigenvectors of graph Laplacians have not, to date, been the subject of expository articles and thus they may seem a surprising ...
Lire la suiteThis volume contains papers presented at the Eighteenth Annual Conference on Learning Theory (previously known as the Conference ...
Lire la suiteThis book constitutes the refereed proceedings of the 19th Annual Conference on Learning Theory, COLT 2006, held in Pittsburgh, ...
Lire la suiteLinear Algebra Thoroughly Explained provides a comprehensive introduction to the subject suitable for adoption as a self-contained ...
Lire la suiteThis book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ...
Lire la suiteThis book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ...
Lire la suiteChallenges in complexity and variability of multimedia data have led to revolutions in machine learning techniques. Multimedia ...
Lire la suiteThe European Conference on Machine Learning (ECML) and the European Conference on Principles and Practice of Knowledge Discovery ...
Lire la suiteThis book constitutes the refereed proceedings of the 17th European Conference on Machine Learning, ECML 2006, held in Berlin, ...
Lire la suiteThe book is divided into three parts. The first part introduces the basic ideas of linear and metric spaces, including the ...
Lire la suiteMatrix algebra is one of the most important areas of mathematics for data analysis and for statistical theory. The first ...
Lire la suiteRemarkable advances in computation and data storage and the ready availability of huge data sets have been the keys to the ...
Lire la suiteThis monograph presents a selected collection of research work on multi-objective approach to machine learning, including ...
Lire la suiteMulti-phase flows are part of our natural environment such as tornadoes, typhoons, air and water pollution and volcanic activities ...
Lire la suiteThis book provides a systematic presentation of the theory and practice of numerical multi-phase fluid dynamics. In the present ...
Lire la suiteCovers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. ...
Lire la suiteThis volume contains 20 papers in Nobeyama Workshop focuses on predicting the next one hundred years of development of Fluid ...
Lire la suiteWith this third edition of Open Source GIS: A GRASS GIS Approach, we enter the new era of GRASS6, the first release that ...
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