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ML
2006
ACM
110views Machine Learning» more  ML 2006»
13 years 10 months ago
Distribution-based aggregation for relational learning with identifier attributes
Abstract Identifier attributes--very high-dimensional categorical attributes such as particular product ids or people's names--rarely are incorporated in statistical modeling....
Claudia Perlich, Foster J. Provost
ECML
2005
Springer
14 years 4 months ago
Thwarting the Nigritude Ultramarine: Learning to Identify Link Spam
The page rank of a commercial web site has an enormous economic impact because it directly influences the number of potential customers that find the site as a highly ranked sear...
Isabel Drost, Tobias Scheffer
ECAI
2010
Springer
13 years 8 months ago
Learning conditionally lexicographic preference relations
Abstract. We consider the problem of learning a user's ordinal preferences on a multiattribute domain, assuming that her preferences are lexicographic. We introduce a general ...
Richard Booth, Yann Chevaleyre, Jérôm...
ACL
2010
13 years 9 months ago
Hierarchical Sequential Learning for Extracting Opinions and Their Attributes
Automatic opinion recognition involves a number of related tasks, such as identifying the boundaries of opinion expression, determining their polarity, and determining their inten...
Yejin Choi, Claire Cardie
VLDB
1987
ACM
108views Database» more  VLDB 1987»
14 years 2 months ago
Translating and Optimizing SQL Queries Having Aggregates
is at least ae powerful as SQL. Two well known relational query languages that have a sound theoretical foundation are relational algebra and relational calculus. As SQL is more cl...
Günter von Bültzingsloewen