Advances in Machine Learning

Advances in Machine Learning

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The First Asian Conference on Machine Learning (ACML 2009) was held at Nanjing, China during November 2a€“4, 2009.This was the ?rst edition of a series of annual conferences which aim to provide a leading international forum for researchers in machine learning and related ?elds to share their new ideas and research ?ndings. This year we received 113 submissions from 18 countries and regions in Asia, Australasia, Europe and North America. The submissions went through a r- orous double-blind reviewing process. Most submissions received four reviews, a few submissions received ?ve reviews, while only several submissions received three reviews. Each submission was handled by an Area Chair who coordinated discussions among reviewers and made recommendation on the submission. The Program Committee Chairs examined the reviews and meta-reviews to further guarantee the reliability and integrity of the reviewing process. Twenty-nine - pers were selected after this process. To ensure that important revisions required by reviewers were incorporated into the ?nal accepted papers, and to allow submissions which would have - tential after a careful revision, this year we launched a a€œrevision double-checka€ process. In short, the above-mentioned 29 papers were conditionally accepted, and the authors were requested to incorporate the a€œimportant-and-musta€re- sionssummarizedbyareachairsbasedonreviewersa€™comments.Therevised?nal version and the revision list of each conditionally accepted paper was examined by the Area Chair and Program Committee Chairs. Papers that failed to pass the examination were ?nally rejected.First Asian Conference on Machine Learning, ACML 2009, Nanjing, China, November 2-4, 2009. ... Assume that the original personal query log length is N. In order to acquire training data consisting of personal query logs with each ... p(y |x), where in our context-based OCI detection problem, y indicates the target label of each query as being commercial or ... For skip-chain CRF, it is essentially a linear-chain CRF with additional long-distance edges between queries xi and xj such thatanbsp;...

Title:Advances in Machine Learning
Author:Zhi-Hua Zhou, Takashi Washio
Publisher:Springer - 2009-11-03


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