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» Measuring empirical computational complexity
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WSC
2000
15 years 6 months ago
Variance reduction techniques for value-at-risk with heavy-tailed risk factors
The calculation of value-at-risk (VAR) for large portfolios of complex instruments is among the most demanding and widespread computational challenges facing the financial industr...
Paul Glasserman, Philip Heidelberger, Perwez Shaha...
154
Voted
HIPC
2005
Springer
15 years 10 months ago
Sensor Selection Heuristic in Sensor Networks
We consider the problem of sensor selection so as to minimise error in estimated location of target. An algorithm based on selecting a sensor in a direction in which the error is ...
Vaishali P. Sadaphal, Bijendra N. Jain
150
Voted
SIGGRAPH
2010
ACM
15 years 8 months ago
Exploration of bat wing morphology through a strip method and visualization
We present a visual exploration tool that lets biologists navigate through complex bat wing geometries by combining a novel modeling method and an interactive visualization approa...
Jian Chen, Daniel K. Riskin, Tatjana Y. Hubel, Dav...
SAC
2012
ACM
14 years 15 days ago
Local bandwidth selectors for deconvolution kernel density estimation
We consider kernel density estimation when the observations are contaminated by measurement errors. It is well known that the success of kernel estimators depends heavily on the c...
Achilleas Achilleos, Aurore Delaigle
138
Voted
KDD
2001
ACM
118views Data Mining» more  KDD 2001»
16 years 5 months ago
Infominer: mining surprising periodic patterns
In this paper, we focus on mining surprising periodic patterns in a sequence of events. In many applications, e.g., computational biology, an infrequent pattern is still considere...
Jiong Yang, Wei Wang 0010, Philip S. Yu