889 search results - page 118 / 178 » Probabilistic Neural Network Models for Sequential Data |
193
Voted
JMLR
2012
13 years 5 months ago
2012
The deep Boltzmann machine is a powerful model that extracts the hierarchical structure of observed data. While inference is typically slow due to its undirected nature, we argue ...
105
Voted
EUROPAR
2005
Springer
15 years 8 months ago
2005
Springer
Abstract. Accurately modeling and predicting performance for largescale applications becomes increasingly difficult as system complexity scales dramatically. Analytic predictive mo...
140
Voted
BMCBI
2010
15 years 2 months ago
2010
Background: One of main aims of Molecular Biology is the gain of knowledge about how molecular components interact each other and to understand gene function regulations. Using mi...
129
Voted
BMCBI
2008
15 years 2 months ago
2008
Background: The accurate detection of differentially expressed (DE) genes has become a central task in microarray analysis. Unfortunately, the noise level and experimental variabi...
142
Voted
PAKDD
2005
ACM
15 years 8 months ago
2005
ACM
The usefulness of the results produced by data mining methods can be critically impaired by several factors such as (1) low quality of data, including errors due to contamination, ...