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ICML
2004
IEEE
16 years 7 months ago
Learning first-order rules from data with multiple parts: applications on mining chemical compound data
Inductive learning of first-order theory based on examples has serious bottleneck in the enormous hypothesis search space needed, making existing learning approaches perform poorl...
Cholwich Nattee, Sukree Sinthupinyo, Masayuki Numa...
CIKM
2009
Springer
16 years 26 days ago
Semi-supervised learning of semantic classes for query understanding: from the web and for the web
Understanding intents from search queries can improve a user’s search experience and boost a site’s advertising profits. Query tagging via statistical sequential labeling mode...
Ye-Yi Wang, Raphael Hoffmann, Xiao Li, Jakub Szyma...
WWW
2004
ACM
16 years 7 months ago
Distributed ranking over peer-to-peer networks
Query flooding is a problem existing in Peer-to-Peer networks like Gnutella. Firework Query Model solves this problem by Peer Clustering and routes the query message more intellig...
Dexter Chi Wai Siu, Tak Pang Lau
CSFW
2007
IEEE
16 years 18 days ago
Privacy and Utility in Business Processes
se an abstract model of business processes for the purpose of (i) evaluating privacy policy in light of the goals of the process and (ii) developing automated support for privacy ...
Adam Barth, John C. Mitchell, Anupam Datta, Sharad...
CLEF
2007
Springer
16 years 13 days ago
Unsupervised Acquiring of Morphological Paradigms from Tokenized Text
This paper describes a rather simplistic method of unsupervised morphological analysis of words in an unknown language. All what is needed is a raw text corpus in the given langua...
Daniel Zeman