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TKDE
2012
226views Formal Methods» more  TKDE 2012»
13 years 5 months ago
DDD: A New Ensemble Approach for Dealing with Concept Drift
—Online learning algorithms often have to operate in the presence of concept drifts. A recent study revealed that different diversity levels in an ensemble of learning machines a...
Leandro L. Minku, Xin Yao
TKDE
2012
245views Formal Methods» more  TKDE 2012»
13 years 5 months ago
Semi-Supervised Maximum Margin Clustering with Pairwise Constraints
—The pairwise constraints specifying whether a pair of samples should be grouped together or not have been successfully incorporated into the conventional clustering methods such...
Hong Zeng, Yiu-ming Cheung
TOCL
2012
235views Formal Methods» more  TOCL 2012»
13 years 5 months ago
Topological and Simplicial Models of Identity Types
racting these leads us to introduce the notion of a path object category. This is a relatively simple axiomatic framework, which is nonetheless sufficiently strong to allow the con...
Benno van den Berg, Richard Garner
SDM
2012
SIAM
224views Data Mining» more  SDM 2012»
13 years 5 months ago
Nearest-Neighbor Search on a Time Budget via Max-Margin Trees
Many high-profile applications pose high-dimensional nearest-neighbor search problems. Yet, it still remains difficult to achieve fast query times for state-of-the-art approache...
Parikshit Ram, Dongryeol Lee, Alexander G. Gray
SDM
2012
SIAM
233views Data Mining» more  SDM 2012»
13 years 5 months ago
On Finding Joint Subspace Boolean Matrix Factorizations
Finding latent factors of the data using matrix factorizations is a tried-and-tested approach in data mining. But finding shared factors over multiple matrices is more novel prob...
Pauli Miettinen