A Wiki website of Calls For Papers (CFP) of international conferences, workshops, meetings, seminars, events, journals and book chapters in computer science, communications, software engineering, artificial intelligence, machine learning, networking, signal processing, systems etc.
A Wiki website of Calls For Papers (CFP) of international conferences, workshops, meetings, seminars, events, journals and book chapters in computer science, communications, software engineering, artificial intelligence, machine learning, networking, signal processing, systems etc.
This video illustrates products from Tribal Education's English Language Solutions team. In addition to Effective Business Communications and Pronunciation Skills, Tribal offers a wide range of ELT/ESOL resources and access to other e-learning, m-learning and assessment solutions.
Our world is being revolutionized by data-driven methods: access to large amounts of data has generated new insights and opened exciting new opportunities in commerce, science, and computing applications. Processing the enormous quantities of data necessary for these advances requires large clusters, making distributed computing paradigms more crucial than ever. MapReduce is a programming model for expressing distributed computations on massive datasets and an execution framework for large-scale data processing on clusters of commodity servers. The programming model provides an easy-to-understand abstraction for designing scalable algorithms, while the execution framework transparently handles many system-level details, ranging from scheduling to synchronization to fault tolerance. This book focuses on MapReduce algorithm design, with an emphasis on text processing algorithms common in natural language processing, information retrieval, and machine learning. We introduce the notion of MapReduce design patterns, which represent general reusable solutions to commonly occurring problems across a variety of problem domains. This book not only intends to help the reader "think in MapReduce", but also discusses limitations of the programming model as well.
E. Pankratov. Mechatronics and Applications: An International Journal (MECHATROJ), 2 (1):
123-135(March 2024)cite arxiv:1108.2888Comment: A&A letters, in press.