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DIS
2009
Springer
16 years 1 months ago
An Iterative Learning Algorithm for Within-Network Regression in the Transductive Setting
Within-network regression addresses the task of regression in partially labeled networked data where labels are sparse and continuous. Data for inference consist of entities associ...
Annalisa Appice, Michelangelo Ceci, Donato Malerba
TFS
2011
242views Education» more  TFS 2011»
15 years 1 months ago
Linguistic Summarization Using IF-THEN Rules and Interval Type-2 Fuzzy Sets
—Linguistic summarization (LS) is a data mining or knowledge discovery approach to extract patterns from databases. Many authors have used this technique to generate summaries li...
Dongrui Wu, Jerry M. Mendel
SIGMOD
2001
ACM
160views Database» more  SIGMOD 2001»
16 years 6 months ago
Adaptive Precision Setting for Cached Approximate Values
Caching approximate values instead of exact values presents an opportunity for performance gains in exchange for decreased precision. To maximize the performance improvement, cach...
Chris Olston, Boon Thau Loo, Jennifer Widom
CIVR
2009
Springer
583views Image Analysis» more  CIVR 2009»
16 years 6 months ago
Mining from Large Image Sets
So far, most image mining was based on interactive querying. Although such querying will remain important in the future, several applications need image mining at such wide scale...
Luc J. Van Gool, Michael D. Breitenstein, Stephan ...
AMAST
2004
Springer
15 years 12 months ago
Expressing Iterative Properties Logically in a Symbolic Setting
We present a logic for reasoning about LOTOS behaviours which allows properties involving repeated patterns over actions and data to be expressed. The semantics of the logic is giv...
Carron Shankland, Jeremy Bryans, Lionel Morel