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ARTMED
1999
92views more  ARTMED 1999»
15 years 6 months ago
Two-Stage Machine Learning model for guideline development
We present a Two-Stage Machine Learning (ML) model as a data mining method to develop practice guidelines and apply it to the problem of dementia staging. Dementia staging in clin...
Subramani Mani, William Rodman Shankle, Malcolm B....
PRL
2002
213views more  PRL 2002»
15 years 6 months ago
Character preclassification based on genetic programming
This paper presents a learning system that uses genetic programming as a tool for automatically inferring the set of classification rules to be used during a preclassification sta...
Claudio De Stefano, Antonio Della Cioppa, Angelo M...
SAC
2002
ACM
15 years 6 months ago
Statistical properties of the simulated time horizon in conservative parallel discrete-event simulations
We investigate the universal characteristics of the simulated time horizon of the basic conservative parallel algorithm when implemented on regular lattices. This technique [1, 2]...
G. Korniss, M. A. Novotny, A. K. Kolakowska, H. Gu...
TMM
2002
158views more  TMM 2002»
15 years 6 months ago
Foveated video quality assessment
Most image and video compression algorithms that have been proposed to improve picture quality relative to compression efficiency have either been designed based on objective crite...
Sanghoon Lee, Marios S. Pattichis, Alan C. Bovik
TON
2002
175views more  TON 2002»
15 years 6 months ago
Compressed bloom filters
A Bloom filter is a simple space-efficient randomized data structure for representing a set in order to support membership queries. Although Bloom filters allow false positives, f...
Michael Mitzenmacher
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