By Yacine Laalaoui, Nizar Bouguila
This e-book provides quite a few contemporary functions of synthetic Intelligence in details and communique applied sciences comparable to seek and Optimization tools, desktop studying, information illustration and Ontologies, and Multi-agent structures. the most goal of this e-book is to aid info and verbal exchange applied sciences (ICT) practitioners in coping with successfully their systems utilizing AI instruments and techniques and to supply them with enough man made Intelligence historical past to house real-life difficulties.
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Extra resources for Artificial Intelligence Applications in Information and Communication Technologies
The experiments indicate that the proposed solution performs very well, being very tolerable to inaccurate runtime estimates. The success of our solution is based on the proposed methodology which combines several approaches in order to develop realistic, fast and efficient solutions. The main idea is to use the linear schedule compression together with the schedule optimization. The optimization is guided by the evaluation which reflects applied objective criteria. Therefore, only good and improving solutions are accepted.
The weight of the term in the document is associated with the document in the list. The whole collection C of documents is represented by a file containing all the documents. A document is indexed by its position in the file. Each element of C points towards a list containing all the terms of the documents with their respective weight. The list is sorted according to the identification number of the term for document search efficiency. Besides, the query is modelled exactly as a document. The weight of a term in a document is computed using the expression t f ∗ id f where tf represents the term frequency in the document and idf is the inverted frequency computed usually as follows: 34 Y.
Moab Workload Manager, Jan 2015. http://docs. com/ 8. : Event-based optimization of schedules for grid jobs. D. thesis, Masaryk University, 2011 9. : Efficient grid scheduling through the incremental schedule-based approach. Comput. : Int. J. 27(1), 4–22 (2011) 10. : Theory and practice in parallel job scheduling. , Rudolph, L. ) Job Scheduling Strategies for Parallel Processing. LNCS, vol. 1291, pp. 1–34. Springer (1997) 11. : Modeling user runtime estimates. , Schwiegelshohn, U. ) Job Scheduling Strategies for Parallel Processing.