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CIKM
2008
Springer
13 years 11 months ago
Metric-based ontology learning
Ontology learning is an important task in Artificial Intelligence, Semantic Web and Text Mining. This paper presents a novel framework for, and solutions to, three practical probl...
Hui Yang, Jamie Callan
COLT
2008
Springer
13 years 10 months ago
On the Power of Membership Queries in Agnostic Learning
We study the properties of the agnostic learning framework of Haussler [Hau92] and Kearns, Schapire and Sellie [KSS94]. In particular, we address the question: is there any situat...
Vitaly Feldman
CIDR
2007
156views Algorithms» more  CIDR 2007»
13 years 10 months ago
SwissQM: Next Generation Data Processing in Sensor Networks
Sensor networks are becoming an important part of the IT landscape. Existing systems, however, are limited in two fundamental ways: lack of data independence, and poor integration...
René Müller, Gustavo Alonso, Donald Ko...
DAGSTUHL
2007
13 years 10 months ago
Discovering Knowledge from Local Patterns with Global Constraints
It is well known that local patterns are at the core of a lot of knowledge which may be discovered from data. Nevertheless, use of local patterns is limited by their huge number an...
Bruno Crémilleux, Arnaud Soulet
LREC
2010
187views Education» more  LREC 2010»
13 years 10 months ago
A Large List of Confusion Sets for Spellchecking Assessed Against a Corpus of Real-word Errors
One of the methods that has been proposed for dealing with real-word errors (errors that occur when a correctly spelled word is substituted for the one intended) is the "conf...
Jennifer Pedler, Roger Mitton