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GECCO
2009
Springer
188views Optimization» more  GECCO 2009»
15 years 10 months ago
Exploiting multiple classifier types with active learning
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...
Zhenyu Lu, Josh Bongard
EDBT
2000
ACM
15 years 10 months ago
Slim-Trees: High Performance Metric Trees Minimizing Overlap Between Nodes
In this paper we present the Slim-tree, a dynamic tree for organizing metric datasets in pages of fixed size. The Slim-tree uses the "fat-factor" which provides a simple ...
Caetano Traina Jr., Agma J. M. Traina, Bernhard Se...
ECML
2005
Springer
15 years 8 months ago
Clustering and Metaclustering with Nonnegative Matrix Decompositions
Although very widely used in unsupervised data mining, most clustering methods are affected by the instability of the resulting clusters w.r.t. the initialization of the algorithm ...
Liviu Badea
SODA
2004
ACM
116views Algorithms» more  SODA 2004»
15 years 8 months ago
Retroactive data structures
We introduce a new data structuring paradigm in which operations can be performed on a data structure not only in the present but also in the past. In this new paradigm, called ret...
Erik D. Demaine, John Iacono, Stefan Langerman
OSDI
2000
ACM
15 years 8 months ago
Policies for Dynamic Clock Scheduling
Pocket computers are beginning to emerge that provide sufficient processing capability and memory capacity to run traditional desktop applications and operating systems on them. T...
Dirk Grunwald, Philip Levis, Keith I. Farkas, Char...