16 search results - page 2 / 4 » Extreme learning machine for missing data using multiple imp... |
IRI
2008
IEEE
13 years 11 months ago
2008
IEEE
There are many applications where multiple data sources, each with its own features, are integrated in order to perform an inference task in an optimal way. Researchers have shown...
ICDE
2009
IEEE
14 years 7 months ago
2009
IEEE
One of the most challenging aspects of managing a very large data warehouse is identifying how queries will behave before they start executing. Yet knowing their performance charac...
VLSISP
2011
13 years 5 days ago
2011
Machine-learning algorithms are employed in a wide variety of applications to extract useful information from data sets, and many are known to suffer from superlinear increases in ...
CSB
2005
IEEE
13 years 11 months ago
2005
IEEE
We developed a machine learning system for determining gene functions from heterogeneous sources of data sets using a Weighted Naive Bayesian Network (WNB). The knowledge of gene ...
IJPP
2011
12 years 8 months ago
2011
Tuning compiler optimizations for rapidly evolving hardware makes porting and extending an optimizing compiler for each new platform extremely challenging. Iterative optimization i...