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Minku [30] show that low diverse ensemble obtain low error in the case of smooth concept drift while high diverse ensemble is better when abrupt concept drift happens.
We can point out that in a smooth concept drift we tend to select a relatively large data chunk and small size of classifiers while in the case of abrupt concept drift a small data chunk is better.
Firstly, it can set the size of data chunk to fit different level of concept drift: small data chunk for sudden concept drift and large data chunk for smooth concept drift.
And in a case of high level concept drift, vertical ensemble algorithm has better performance while in smooth concept drift or no concept drift horizontal ensemble algorithm is better.
[Disclosure: I advise a college friend's stealth social location-sharing startup codenamed 'Signal' that is based in San Francisco. This advising role has been cleared with AOL and TechCrunch's editors.] Take the same smooth concept of proximity broadcasting and real-time location sharing with specific friends, and build it off address book phone numbers instead.
Zhang [23] develop a kernel mean matching (KMM) method to minimize the discrepancy of the data chunks in the kernel space for smooth concept drift and an Optimal Weight values for classifiers trained from the most recent data chunk for abrupt concept drift.
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Gary A. Amelio, who runs the city's pension fund, seemed to have an open mind about the "extended-smoothing" concept in an interview Tuesday.
Following the mesh smoothing concept, a sub-spring system derived from the "ball-vertex" model is built and solved on a node by node basis using an LDLT solver.
In addition, to deal with a shortage of the speed observation in recursive operations, a fixed-lag smoothing concept based on the past and future location information is implemented to avoid the error propagation and then to improve the location accuracy.
In terms of Figure 7, as the tracking scheme is based on a fixed-lag smoothing concept with faster sampling frequency, the phenomenon of the worse initial convergence can be reduced with selecting a more closer initial value or can be overcome with the times of the process cycle based on the inherent message-passing features to exchange information.
The graphics are fairly primitive but the movement was quite smooth and the concept, while initially silly, is fairly compelling.
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Justyna Jupowicz-Kozak
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