1006 search results - page 76 / 202 » A Case Study for Learning from Imbalanced Data Sets |
151
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WWW
2004
ACM
16 years 6 months ago
2004
ACM
The ontological representation of learning objects is a way to deal with the interoperability and reusability of learning objects (including metadata) through providing a semantic...
263
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GIS
2008
ACM
16 years 7 months ago
2008
ACM
This paper proposes a novel framework for mining regional colocation patterns with respect to sets of continuous variables in spatial datasets. The goal is to identify regions in ...
180
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COCO
2003
Springer
15 years 11 months ago
2003
Springer
We study the communication complexity of the set disjointness problem in the general multi-party model. For t players, each holding a subset of a universe of size n, we establish ...
196
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CVPR
2011
IEEE
15 years 2 months ago
2011
IEEE
Sparse coding, which is the decomposition of a vector using only a few basis elements, is widely used in machine learning and image processing. The basis set, also called dictiona...
176
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PKDD
2010
Springer
15 years 4 months ago
2010
Springer
Multi-task learning leverages shared information among data sets to improve the learning performance of individual tasks. The paper applies this framework for data where each task ...