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ICML
2006
IEEE
16 years 4 months ago
Learning user preferences for sets of objects
Most work on preference learning has focused on pairwise preferences or rankings over individual items. In this paper, we present a method for learning preferences over sets of it...
Marie desJardins, Eric Eaton, Kiri Wagstaff
CIKM
2008
Springer
15 years 5 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
CHI
2009
ACM
16 years 4 months ago
A survey of software learnability: metrics, methodologies and guidelines
It is well-accepted that learnability is an important aspect of usability, yet there is little agreement as to how learnability should be defined, measured, and evaluated. In this...
Tovi Grossman, George W. Fitzmaurice, Ramtin Attar
DAC
2010
ACM
15 years 7 months ago
Quality metric evaluation of a physical unclonable function derived from an IC's power distribution system
The level of security provided by digital rights management functions and cryptographic protocols depend heavily on the security of an embedded secret key. The current practice of...
Ryan Helinski, Dhruva Acharyya, Jim Plusquellic
IJCAI
2003
15 years 4 months ago
Information Extraction from Web Documents Based on Local Unranked Tree Automaton Inference
Information extraction (IE) aims at extracting specific information from a collection of documents. A lot of previous work on 10 from semi-structured documents (in XML or HTML) us...
Raymond Kosala, Maurice Bruynooghe, Jan Van den Bu...