Read e-book online Advances in Computer Science and Engineering: 13th PDF

By Mohammad Taheri, Elham Chitsaz, Seraj D. Katebi, Mansoor Z. Jahromi (auth.), Hamid Sarbazi-Azad, Behrooz Parhami, Seyed-Ghassem Miremadi, Shaahin Hessabi (eds.)

ISBN-10: 3540899847

ISBN-13: 9783540899846

ISBN-10: 3540899855

ISBN-13: 9783540899853

This booklet constitutes the revised chosen papers of the thirteenth foreign CSI laptop convention, CSICC 2008 hung on Kish Island, Iran, in March 2008. The eighty four common papers awarded including sixty eight poster shows have been rigorously reviewed and chosen from a complete of 426 submissions.

The papers are prepared in topical sections on learning/soft computing, set of rules concept, SoC and NoC, wireless/sensor networks, video processing and similar subject matters, processor structure, AI/robotics/control, scientific snapshot processing, p2p/cluster/grid platforms, cellular advert hoc networks, internet, sign processing/speech processing, misc, protection, photograph processing functions in addition to VLSI.

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Extra resources for Advances in Computer Science and Engineering: 13th International CSI Computer Conference, CSICC 2008 Kish Island, Iran, March 9-11, 2008 Revised Selected Papers

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Then the data is split into n approximately equal partitions and each in turn is used for testing and the remainder is used for training and repeat the procedure n times so that, in the end, every instance has been used exactly once for testing. This is called n-fold cross-validation. In our experiments we used 10-fold cross-validation. Each part is held out in turn and the learning scheme trained on the remaining nine-tenths; then its error rate is calculated on the holdout set. Thus the learning procedure is executed a total of 10 times on different training.

However, structural learning is slightly different than parameter learning. If we consider ML estimation or MAP estimation with uninformative priors then the structure that maximizes the likelihood will be the result. e. that has more dependencies between variables) will be more capable to increase the likelihood because they have more degree of freedom. However, the aim is to find a structure that encodes the independencies among the variables, that is we want our structure to be as simple as possible.

K. ) GECCO 2003. LNCS, vol. 2723, pp. 122–133. Springer, Heidelberg (2003) 7. : A new rank-based version of the Ant System: A computational study. Central European Journal for Operations Research and Economics 7, 25–38 (1999) 8. : The MAX–MIN Ant System and local search for the traveling salesman problem. In: IEEE International Conference on Evolutionary Computation (ICEC 1997), pp. 309–314. IEEE Press, Piscataway (1997) 9. : Multiple Ant Colonies Algorithm Based on Colony Level Interactions. IEICE Transactions E83-A, 371–379 (2000) 10.

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Advances in Computer Science and Engineering: 13th International CSI Computer Conference, CSICC 2008 Kish Island, Iran, March 9-11, 2008 Revised Selected Papers by Mohammad Taheri, Elham Chitsaz, Seraj D. Katebi, Mansoor Z. Jahromi (auth.), Hamid Sarbazi-Azad, Behrooz Parhami, Seyed-Ghassem Miremadi, Shaahin Hessabi (eds.)


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