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IJCNN
2000
IEEE
14 years 2 months ago
Metrics that Learn Relevance
We introduce an algorithm for learning a local metric to a continuous input space that measures distances in terms of relevance to the processing task. The relevance is defined a...
Samuel Kaski, Janne Sinkkonen
ECML
2006
Springer
14 years 1 months ago
Why Is Rule Learning Optimistic and How to Correct It
Abstract. In their search through a huge space of possible hypotheses, rule induction algorithms compare estimations of qualities of a large number of rules to find the one that ap...
Martin Mozina, Janez Demsar, Jure Zabkar, Ivan Bra...
FOCS
2008
IEEE
14 years 4 months ago
On the Value of Multiple Read/Write Streams for Approximating Frequency Moments
We consider the read/write streams model, an extension of the standard data stream model in which an algorithm can create and manipulate multiple read/write streams in addition to...
Paul Beame, Dang-Trinh Huynh-Ngoc
CIDR
2009
157views Algorithms» more  CIDR 2009»
13 years 10 months ago
Capturing Data Uncertainty in High-Volume Stream Processing
We present the design and development of a data stream system that captures data uncertainty from data collection to query processing to final result generation. Our system focuse...
Yanlei Diao, Boduo Li, Anna Liu, Liping Peng, Char...
BIOINFORMATICS
2008
172views more  BIOINFORMATICS 2008»
13 years 9 months ago
Fitting a geometric graph to a protein-protein interaction network
Motivation: Finding a good network null model for protein-protein interaction (PPI) networks is a fundamental issue. Such a model would provide insights into the interplay between...
Desmond J. Higham, Marija Rasajski, Natasa Przulj