You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
Contents: Introduction, Review of Related Literature, Methods of Investigation, Data, Conclusions and Suggestions, Summary.
First multi-year cumulation covers six years: 1965-70.
Your map through the network jungle. Here's how to track down virtually every network available to academics and researchers. This new book, with its detailed compilation of host- level information, provides everything you need to locate resources, send mail to colleagues and friends worldwide, and answer questions about how to access major national and international networks. Extensively cross- referenced information on ARPANET/MILNET, BITNET, CSNET, Esnet, NSFNET, SPAN, THEnet, USENET, and loads of others is all provided. Included are detailed lists of hosts, site contacts, administrative domains, and organizations. Plus, a tutorial chapter with handy reference tables reveals electronic mail 'secrets' that make it easier to take advantage of networking.
Contains a collection of papers which were presented at the Seventh International Conference. The aim is to advance the understanding of the nature of such partnerships and strategies by providing an international platform for the exchange of novel ideas, experiences and practices. The conference focused most of its attention on experiences and methodologies regarding multiparadigmatic approaches.
This book constitutes the refereed proceedings of the 4th ECML PKDD Workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2019, held in Ghent, Belgium, in September 2020. The 15 full papers presented in this book were carefully reviewed and selected from 29 submissions. The selected papers are devoted to topics such as Temporal Data Clustering; Classification of Univariate and Multivariate Time Series; Early Classification of Temporal Data; Deep Learning and Learning Representations for Temporal Data; Modeling Temporal Dependencies; Advanced Forecasting and Prediction Models; Space-Temporal Statistical Analysis; Functional Data Analysis Methods; Temporal Data Streams; Interpretable Time-Series Analysis Methods; Dimensionality Reduction, Sparsity, Algorithmic Complexity and Big Data Challenge; and Bio-Informatics, Medical, Energy Consumption, Temporal Data.
This book provides an overview of the current state of discussion from different perspectives. It starts with the European view. Representatives of the CEC present the political strategies and objectives of the IV Framework Programme regarding education and training supported by technology and telematics. International experts join the discussion, specifying political, cultural, sociological, psychological and market factors which determine the success of the implementation of new learning environments. How should learning systems be developed and evaluated: this question is tackled in the following section. Specific project desciptions show how the involvement of different user groups has been achieved: home learners, small and medium-sized enterprises, large companies, secondary and tertiary education. The perspective then shifts to the different components of learning systems: the management of virtual space, the economical production of learning material, the use of simulation... A more technology-oriented section discussing questions of different technologies and standards concludes the publication.