2512 search results - page 127 / 503 » Learning from Highly Structured Data by Decomposition |
DMSN
2009
ACM
15 years 4 months ago
2009
ACM
Creating statistics from sporting events is now widespread with most efforts to automate this process using various sensor devices. The problem with many of these statistical app...
ICML
2010
IEEE
14 years 11 months ago
2010
IEEE
When modeling high-dimensional richly structured data, it is often the case that the distribution defined by the Deep Boltzmann Machine (DBM) has a rough energy landscape with man...
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JMLR
2010
14 years 4 months ago
2010
Subgroup discovery aims at finding subsets of a population whose class distribution is significantly different from the overall distribution. A number of multi-class subgroup disc...
CORR
2008
Springer
14 years 10 months ago
2008
Springer
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
HPCA
2011
IEEE
14 years 1 months ago
2011
IEEE
Traditional architectural designs are normally focused on CPUs and have been often decoupled from I/O considerations. They are inefficient for high-speed network processing with a...