Editors' Preface to the Special Issue on Widowhood and Bereavement

Special issue on 'Network Analysis' Preface by the Guest Editors

Network analysis has attracted considerable interest from the social, behavioral and other science communities in recent decades. This interest can be attributed to the importance and need to analyze (e.g., social) relationships among units, to detect any underlying structural patterns, and to infer implications of these relationships. Wasserman and Faust (1994) pointed out that the network per...

Guest Editors’ Preface Special Issue on Reversible Computing

Preface to the Special Issue

Large-scale assessments, such as Trends in International Mathematics and Science Study (TIMSS) and Programme for International Student Assessment (PISA), provide big data in the educational context. A researcher who wants to conduct a secondary analysis using this big data has to notice that analyses of this type of data require considering some technical complexities. Among these complexities ...

Preface: Introduction to Special Issue

Demands for flexibility, greater variety of products, and advanced production processes complicate the logistics and planning of manufacturing systems; this also increases the number of alternatives that should be formalized in a model. The evaluation of all the possible alternatives of the planning problem is often considered an NP-hard combinatorial problem. Practical problems often contain n...

Preface to this special issue

This issue of JMLR is devoted to the memory of Alexey Chervonenkis. Over the period of a dozen years between 1962 and 1973 he and Vladimir Vapnik created a new discipline of statistical learning theory—the foundation on which all our modern understanding of pattern recognition is based. Alexey was 28 years old when they made their most famous and original discovery, the uniform law of large num...