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TSP
2010
14 years 8 months ago
Gaussian multiresolution models: exploiting sparse Markov and covariance structure
We consider the problem of learning Gaussian multiresolution (MR) models in which data are only available at the finest scale and the coarser, hidden variables serve both to captu...
Myung Jin Choi, Venkat Chandrasekaran, Alan S. Wil...
ESA
2009
Springer
94views Algorithms» more  ESA 2009»
15 years 8 months ago
Shape Fitting on Point Sets with Probability Distributions
We consider problems on data sets where each data point has uncertainty described by an individual probability distribution. We develop several frameworks and algorithms for calcul...
Maarten Löffler, Jeff M. Phillips
FC
1999
Springer
97views Cryptology» more  FC 1999»
15 years 5 months ago
Playing "Hide and Seek" with Stored Keys
In this paper we consider the problem of efficiently locating cryptographic keys hidden in gigabytes of data, such as the complete file system of a typical PC. We describe efficie...
Adi Shamir, Nicko van Someren
AAAI
2006
15 years 2 months ago
Fast Hierarchical Goal Schema Recognition
We present our work on using statistical, corpus-based machine learning techniques to simultaneously recognize an agent's current goal schemas at various levels of a hierarch...
Nate Blaylock, James F. Allen
IJBRA
2006
107views more  IJBRA 2006»
15 years 1 months ago
Probabilistic models for biological sequences: selection and Maximum Likelihood estimation
: Probabilistic models for biological sequences (DNA and proteins) are frequently used in bioinformatics. We describe statistical tests designed to detect the order of dependency a...
Svetlana Ekisheva, Mark Borodovsky