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» Comparing Reductions to NP-Complete Sets
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SDM
2012
SIAM
261views Data Mining» more  SDM 2012»
11 years 9 months ago
Combining Active Learning and Dynamic Dimensionality Reduction
To date, many active learning techniques have been developed for acquiring labels when training data is limited. However, an important aspect of the problem has often been neglect...
Mustafa Bilgic
LPAR
2005
Springer
14 years 26 days ago
Comparative Similarity, Tree Automata, and Diophantine Equations
The notion of comparative similarity ‘X is more similar or closer to Y than to Z’ has been investigated in both foundational and applied areas of knowledge representation and r...
Mikhail Sheremet, Dmitry Tishkovsky, Frank Wolter,...
ISPASS
2006
IEEE
14 years 1 months ago
Comparing simulation techniques for microarchitecture-aware floorplanning
— Due to the long simulation times of the reference input sets, microarchitects resort to alternative techniques to speed up cycle-accurate simulations. However, the reduction in...
Vidyasagar Nookala, Ying Chen, David J. Lilja, Sac...
CAEPIA
2003
Springer
14 years 18 days ago
Using the Geometrical Distribution of Prototypes for Training Set Condensing
Abstract. In this paper, some new approaches to training set size reduction are presented. These schemes basically consist of defining a small number of prototypes that represent ...
María Teresa Lozano, José Salvador S...
IBPRIA
2003
Springer
14 years 17 days ago
Reducing Training Sets by NCN-based Exploratory Procedures
In this paper, a new approach to training set size reduction is presented. This scheme basically consists of defining a small number of prototypes that represent all the original ...
María Teresa Lozano, José Salvador S...