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WSC
2007
15 years 6 months ago
Kernel estimation for quantile sensitivities
Quantiles, also known as value-at-risk in financial applications, are important measures of random performance. Quantile sensitivities provide information on how changes in the i...
Guangwu Liu, L. Jeff Hong
SODA
2001
ACM
147views Algorithms» more  SODA 2001»
15 years 5 months ago
Sublinear time approximate clustering
Clustering is of central importance in a number of disciplines including Machine Learning, Statistics, and Data Mining. This paper has two foci: 1 It describes how existing algori...
Nina Mishra, Daniel Oblinger, Leonard Pitt
PRL
2008
97views more  PRL 2008»
15 years 4 months ago
Repairing self-confident active-transductive learners using systematic exploration
We consider an active learning game within a transductive learning model. A major problem with many active learning algorithms is that an unreliable current hypothesis can mislead...
Ron Begleiter, Ran El-Yaniv, Dmitry Pechyony
TKDE
2008
139views more  TKDE 2008»
15 years 4 months ago
Mining Weighted Association Rules without Preassigned Weights
Association rule mining is a key issue in data mining. However, the classical models ignore the difference between the transactions, and the weighted association rule mining does n...
Ke Sun, Fengshan Bai
ICPPW
2002
IEEE
15 years 9 months ago
High Performance Air Pollution Simulation Using OpenMP
The aim of this work is to provide a high performance air quality simulation using the STEM-II (Sulphur Transport Eulerian Model 2) program. First of all we optimize the sequentia...
Marta Parada, María J. Martín, Ramon...