5463 search results - page 98 / 1093 » Evaluating algorithms that learn from data streams |
172
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KDD
2008
ACM
16 years 4 months ago
2008
ACM
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
130
Voted
ICALT
2003
IEEE
15 years 9 months ago
2003
IEEE
This study presents a shared document-based annotation tool, EDUCOSM. Usefulness of the system is empirically evaluated in a real-life collaborative learning context. Relationship...
176
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CCIA
2010
Springer
14 years 11 months ago
2010
Springer
Locally weighted as well as Gaussian mixtures learning algorithms are suitable strategies for trajectory learning and skill acquisition, in the context of programming by demonstrat...
158
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STOC
2005
ACM
15 years 9 months ago
2005
ACM
A dynamic geometric data stream consists of a sequence of m insert/delete operations of points from the discrete space {1, . . . , ∆}d [26]. We develop streaming (1 + )-approxim...
142
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SDM
2008
SIAM
15 years 5 months ago
2008
SIAM
Most clustering algorithms produce a single clustering for a given data set even when the data can be clustered naturally in multiple ways. In this paper, we address the difficult...