1845 search results - page 226 / 369 » Machine-Learning Applications of Algorithmic Randomness |
ICDM
2009
IEEE
14 years 2 months ago
2009
IEEE
— In a data-mining approach, a model for estimation of Aerosol Optical Depth (AOD) from satellite observations is learned using collocated satellite and groundbased observations....
PAMI
2006
13 years 8 months ago
2006
In this paper we present a variational Bayes (VB) framework for learning continuous hidden Markov models (CHMMs), and we examine the VB framework within active learning. Unlike a ...
TSMC
2002
13 years 8 months ago
2002
When reliable prior bounds on the acceptable errors between the data and corresponding model outputs are available, bounded-error estimation techniques make it possible to characte...
SODA
2008
ACM
13 years 9 months ago
2008
ACM
Hashing is fundamental to many algorithms and data structures widely used in practice. For theoretical analysis of hashing, there have been two main approaches. First, one can ass...
JMLR
2010
13 years 6 months ago
2010
The problem of computing a maximum a posteriori (MAP) configuration is a central computational challenge associated with Markov random fields. There has been some focus on “tr...