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» Approximation of Multi-color Discrepancy
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86
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MOC
2002
92views more  MOC 2002»
15 years 24 days ago
Asymptotic properties of the spectral test, diaphony, and related quantities
This paper presents the limit laws of discrepancies defined via exponential sums, and algorithms (with error bounds) to approximate the corresponding distribution functions. The re...
Hannes Leeb
102
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KDD
2006
ACM
153views Data Mining» more  KDD 2006»
16 years 1 months ago
Spatial scan statistics: approximations and performance study
Spatial scan statistics are used to determine hotspots in spatial data, and are widely used in epidemiology and biosurveillance. In recent years, there has been much effort invest...
Deepak Agarwal, Andrew McGregor, Jeff M. Phillips,...
157
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CEC
2008
IEEE
15 years 7 months ago
Improved Particle Swarm Optimization with low-discrepancy sequences
— Quasirandom or low discrepancy sequences, such as the Van der Corput, Sobol, Faure, Halton (named after their inventors) etc. are less random than a pseudorandom number sequenc...
Millie Pant, Radha Thangaraj, Crina Grosan, Ajith ...
131
Voted
JMLR
2012
13 years 3 months ago
Randomized Optimum Models for Structured Prediction
One approach to modeling structured discrete data is to describe the probability of states via an energy function and Gibbs distribution. A recurring difficulty in these models is...
Daniel Tarlow, Ryan Prescott Adams, Richard S. Zem...
113
Voted
AAAI
1990
15 years 2 months ago
Approximation Reformulations
Although computers are widely used to simulate complex physical systems, crafting the underlying models that enable computer analysis remains difficult. When a model is created fo...
Daniel S. Weld