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PODS
2001
ACM
190views Database» more  PODS 2001»
16 years 6 months ago
On the Effects of Dimensionality Reduction on High Dimensional Similarity Search
The dimensionality curse has profound e ects on the effectiveness of high-dimensional similarity indexing from the performance perspective. One of the well known techniques for im...
Charu C. Aggarwal
ICML
2009
IEEE
16 years 7 months ago
Large-scale deep unsupervised learning using graphics processors
The promise of unsupervised learning methods lies in their potential to use vast amounts of unlabeled data to learn complex, highly nonlinear models with millions of free paramete...
Rajat Raina, Anand Madhavan, Andrew Y. Ng
BMCBI
2005
250views more  BMCBI 2005»
15 years 6 months ago
FiatFlux - a software for metabolic flux analysis from 13C-glucose experiments
Background: Quantitative knowledge of intracellular fluxes is important for a comprehensive characterization of metabolic networks and their functional operation. In contrast to d...
Nicola Zamboni, Eliane Fischer, Uwe Sauer
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
15 years 11 months ago
Improving data mining utility with projective sampling
Overall performance of the data mining process depends not just on the value of the induced knowledge but also on various costs of the process itself such as the cost of acquiring...
Mark Last
ICML
2004
IEEE
16 years 7 months ago
Learning and evaluating classifiers under sample selection bias
Classifier learning methods commonly assume that the training data consist of randomly drawn examples from the same distribution as the test examples about which the learned model...
Bianca Zadrozny