Advances in Information Technology and Education: by Hai Sun, Ling Lin (auth.), Honghua Tan, Mark Zhou (eds.)

By Hai Sun, Ling Lin (auth.), Honghua Tan, Mark Zhou (eds.)

This two-volume set (CCIS 201 and CCIS 202) constitutes the refereed court cases of the overseas convention on machine technological know-how and schooling, CSE 2011, held in Qingdao, China, in July 2011. The 164 revised complete papers offered in either volumes have been conscientiously reviewed and chosen from numerous submissions. The papers deal with various examine themes and purposes: from man made intelligence to desktops and data expertise; from schooling structures to equipment learn and different similar matters; corresponding to: database know-how, computing device structure, software program engineering, special effects, keep watch over know-how, platforms engineering, community, communique, and different complex expertise, computing device schooling, and life-long education.

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Extra resources for Advances in Information Technology and Education: International Conference, CSE 2011, Qingdao, China, July 9-10, 2011, Proceedings, Part I

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Dataset 1 5 Conclusions GTAN and BAN classifiers are unstable, by setting different parameters, we can form a number of different TAN and BAN classifiers. In this paper, multiple TAN classifiers generated by GTAN are combined by a combination method called Boosting-MultiTAN is compared with the Boosting-BAN classifier which is boosting based on BAN combination. Finally, experimental results show that the BoostingBAN has higher classification accuracy on most data sets. When implementing Boosting classifiers, we were able to calculate the value of ε directly given our prior knowledge.

On the basis of discussing the features of digital signal processing and the present experimental teaching, this paper introduces a LabVIEW based virtual experiment platform on network, and carries on some useful exploration and practice, with favorable teaching effects. 2 Necessities of Developing the Experimental Platform of Digital Signal Processing Based on Network With the development of technology, this world has come into a digitized age. Computer has already become an indispensable tool in signal acquiring, analyzing and processing.

Tan and M. ): CSE 2011, Part I, CCIS 201, pp. 23–30, 2011. © Springer-Verlag Berlin Heidelberg 2011 24 X. Sun and H. Zhou The first provably effective boosting algorithms were presented by Schapire and Freund[1] in 1995. Boosting works by repeatedly running a given weak learning algorithm on various distributions over the training data, and then combining the classifiers produced by the weak learner into a single composite classifier. The first provably effective boosting algorithms were presented by Freund[3] and Schapire[5].

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