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NIPS
2001
13 years 10 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
14 years 1 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»
14 years 2 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»
14 years 6 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
13 years 7 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