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» Minimal Kernel Classifiers
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SDM
2007
SIAM
131views Data Mining» more  SDM 2007»
14 years 11 months ago
Load Shedding in Classifying Multi-Source Streaming Data: A Bayes Risk Approach
In many applications, we monitor data obtained from multiple streaming sources for collective decision making. The task presents several challenges. First, data in sensor networks...
Yijian Bai, Haixun Wang, Carlo Zaniolo
RTCSA
1995
IEEE
15 years 1 months ago
A timeliness-guaranteed kernel model-DREAM kernel-and implementation techniques
: An essential building-block for construction of future real-time computer systems (RTCS’s) is a timeliness-guaranteed operating system. The first co-author recently formulated ...
K. H. (Kane) Kim, Luiz F. Bacellar, Yuseok Kim, Ch...
JMLR
2002
137views more  JMLR 2002»
14 years 9 months ago
The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces
A central problem in learning is selection of an appropriate model. This is typically done by estimating the unknown generalization errors of a set of models to be selected from a...
Masashi Sugiyama, Klaus-Robert Müller
SENSYS
2003
ACM
15 years 3 months ago
Minimal and maximal exposure path algorithms for wireless embedded sensor networks
Sensor networks not only have the potential to change the way we use, interact with, and view computers, but also the way we use, interact with, and view the world around us. In o...
Giacomino Veltri, Qingfeng Huang, Gang Qu, Miodrag...
DAM
2011
14 years 4 months ago
On minimal Sturmian partial words
Partial words, which are sequences that may have some undefined positions called holes, can be viewed as sequences over an extended alphabet A = A ∪ { }, where stands for a hol...
Francine Blanchet-Sadri, John Lensmire