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NIPS
2001
15 years 7 months ago
The g Factor: Relating Distributions on Features to Distributions on Images
We describe the g-factor which relates probability distributions on image features to distributions on the images themselves. The g-factor depends only on our choice of features a...
James M. Coughlan, Alan L. Yuille
CSR
2007
Springer
15 years 10 months ago
On Empirical Meaning of Randomness with Respect to a Real Parameter
We study the empirical meaning of randomness with respect to a family of probability distributions P, where is a real parameter, using algorithmic randomness theory. In the case w...
Vladimir V. V'yugin
HICSS
2002
IEEE
119views Biometrics» more  HICSS 2002»
15 years 11 months ago
An Inverse-Quantile Function Approach for Modeling Electricity Price
We propose a class of alternative stochastic volatility models for electricity prices using the quantile function modeling approach. Specifically, we fit marginal distributions ...
Shi-Jie Deng, Wenjiang Jiang
SODA
2010
ACM
157views Algorithms» more  SODA 2010»
16 years 3 months ago
Testing monotone high-dimensional distributions
A monotone distribution P over a (partially) ordered domain assigns higher probability to y than to x if y x in the order. We study several natural problems concerning testing pr...
Ronitt Rubinfeld, Rocco A. Servedio
IAT
2010
IEEE
15 years 4 months ago
Getting What You Pay For: Is Exploration in Distributed Hill Climbing Really Worth it?
Abstract--The Distributed Stochastic Algorithm (DSA), Distributed Breakout Algorithm (DBA), and variations such as Distributed Simulated Annealing (DSAN), MGM-1, and DisPeL, are di...
Melanie Smith, Roger Mailler