The work described in this paper proposes a method for the measurement of similarity, viewed from the decision maker's perspective. At first, an algorithm is presented that generalizes a discrete fuzzy set F, representing a model, given another discrete fuzzy set G representing new evidence. The alg
β¦ LIBER β¦
Learning a concept-based document similarity measure
β Scribed by Lan Huang; David Milne; Eibe Frank; Ian H. Witten
- Book ID
- 112002895
- Publisher
- John Wiley and Sons
- Year
- 2012
- Tongue
- English
- Weight
- 788 KB
- Volume
- 63
- Category
- Article
- ISSN
- 1532-2882
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Learning-based similarity measurement fo
β
Athena Tocatlidou
π
Article
π
1998
π
John Wiley and Sons
π
English
β 407 KB
π 2 views
A Relevance-Based Learning Model of Fuzz
β
Le Capitaine, H.
π
Article
π
2012
π
IEEE
π
English
β 810 KB
Improving document clustering in a learn
β
Jean-FranΓ§ois Pessiot; Young-Min Kim; Massih R. Amini; Patrick Gallinari
π
Article
π
2010
π
Elsevier Science
π
English
β 375 KB
Beyond topical similarity: a structural
β
Xiaojun Wan
π
Article
π
2006
π
Springer-Verlag
π
English
β 320 KB
Link-based similarity measures for the c
β
PΓ‘vel Calado; Marco Cristo; Marcos AndrΓ© GonΓ§alves; Edleno S. de Moura; Berthier
π
Article
π
2005
π
John Wiley and Sons
π
English
β 239 KB
## Abstract Traditional textβbased document classifiers tend to perform poorly on the Web. Text in Web documents is usually noisy and often does not contain enough information to determine their topic. However, the Web provides a different source that can be useful to document classification: its h
A collaborative filtering similarity mea
β
JesΓΊs Bobadilla; Fernando Ortega; Antonio Hernando
π
Article
π
2012
π
Elsevier Science
π
English
β 726 KB