Download Advances in Machine Learning: First Asian Conference on by Thomas G. Dietterich (auth.), Zhi-Hua Zhou, Takashi Washio PDF

By Thomas G. Dietterich (auth.), Zhi-Hua Zhou, Takashi Washio (eds.)

ISBN-10: 364205224X

ISBN-13: 9783642052248

The First Asian convention on laptop studying (ACML 2009) used to be held at Nanjing, China in the course of November 2–4, 2009.This was once the ?rst version of a sequence of annual meetings which target to supply a number one overseas discussion board for researchers in desktop studying and similar ?elds to proportion their new rules and learn ?ndings. This yr we acquired 113 submissions from 18 international locations and areas in Asia, Australasia, Europe and North the US. The submissions went via a r- orous double-blind reviewing method. such a lot submissions got 4 stories, a couple of submissions acquired ?ve stories, whereas in simple terms numerous submissions bought 3 experiences. each one submission was once dealt with by means of a space Chair who coordinated discussions between reviewers and made suggestion at the submission. this system Committee Chairs tested the stories and meta-reviews to extra warrantly the reliability and integrity of the reviewing method. Twenty-nine - pers have been chosen after this procedure. to make sure that very important revisions required via reviewers have been integrated into the ?nal authorized papers, and to permit submissions which might have - tential after a cautious revision, this 12 months we introduced a “revision double-check” approach. briefly, the above-mentioned 29 papers have been conditionally approved, and the authors have been asked to include the “important-and-must”re- sionssummarizedbyareachairsbasedonreviewers’comments.Therevised?nal model and the revision checklist of every conditionally approved paper used to be tested through the world Chair and application Committee Chairs. Papers that didn't move the exam have been ?nally rejected.

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Transferring localization models across space. In: Proceedings of the 23rd AAAI Conference on Artificial Intelligence, pp. 1383–1388 (2008) 27. : Transferring multi-device localization models using latent multi-task learning. In: Proceedings of the 23rd AAAI Conference on Artificial Intelligence, Chicago, Illinois, USA, July 2008, pp. 1427–1432 (2008) 22 Q. Yang 28. : Can chinese web pages be classified with english data source? In: WWW 2008: Proceeding of the 17th International conference on World Wide Web, pp.

In: ICML, pp. 617–624 (2009) 31. : Estimating location using Wi-Fi. hk/˜qyang/ICDMDMC07/ 32. : The information bottleneck method. In: Proc. of the 37th Annual Allerton Conference on Communication, Control and Computing, pp. 368–377 33. : Cross-lingual text categorization. T. ) ECDL 2003. LNCS, vol. 2769, pp. 126–139. Springer, Heidelberg (2003) 34. : Bilingual topic aspect classification with a few training examples. In: SIGIR 2008: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval, pp.

36 A. Bifet et al. The new improved ensemble methods presented in this paper are slower than the old ones, with BagADWIN 10 HAT being worst, because it pays twice: through the addition of ADWIN and HAT, the latter being slower than HT by a factor between two and five. Change detection can be time-consuming, the extreme case being Naive Bayes vs. NBAdwin, where Naive Bayes can be up to six times faster. However, change detection helps accuracy, with improvements of up to 20 percentage points (see, for example, CovPokElec).

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