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» A theory of learning with similarity functions
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SIGCSE
1996
ACM
163views Education» more  SIGCSE 1996»
15 years 3 months ago
Database theory in practice: learning from cooperative group projects
lhis paper describes the use of cooperative group learning concepts in support of an undergraduate database mrtnagement course that emphasizes the theoretical and practical aspect...
Suzanne W. Dietrich, Susan Darling Urban
ISCI
2007
170views more  ISCI 2007»
14 years 11 months ago
Automatic learning of cost functions for graph edit distance
Graph matching and graph edit distance have become important tools in structural pattern recognition. The graph edit distance concept allows us to measure the structural similarit...
Michel Neuhaus, Horst Bunke
EDBT
2009
ACM
277views Database» more  EDBT 2009»
15 years 4 months ago
G-hash: towards fast kernel-based similarity search in large graph databases
Structured data including sets, sequences, trees and graphs, pose significant challenges to fundamental aspects of data management such as efficient storage, indexing, and simila...
Xiaohong Wang, Aaron M. Smalter, Jun Huan, Gerald ...
AAAI
2007
15 years 2 months ago
Improving Similarity Measures for Short Segments of Text
In this paper we improve previous work on measuring the similarity of short segments of text in two ways. First, we introduce a Web-relevance similarity measure and demonstrate it...
Wen-tau Yih, Christopher Meek
CIKM
2005
Springer
15 years 5 months ago
Inferring document similarity from hyperlinks
Assessing semantic similarity between text documents is a crucial aspect in Information Retrieval systems. In this work, we propose to use hyperlink information to derive a simila...
David Grangier, Samy Bengio