58 search results - page 5 / 12 » Optimizing MPI Runtime Parameter Settings by Using Machine L... |
ICML
2009
IEEE
14 years 9 months ago
2009
IEEE
This paper addresses exact learning of Bayesian network structure from data and expert's knowledge based on score functions that are decomposable. First, it describes useful ...
ICDE
2012
IEEE
11 years 11 months ago
2012
IEEE
—With the exponential growth in the amount of data that is being generated in recent years, there is a pressing need for applying machine learning algorithms to large data sets. ...
GECCO
2004
Springer
14 years 1 months ago
2004
Springer
Multiple Species Weighted Voting (MSWV) is a genetics-based machine learning (GBML) system with relatively few parameters that combines N two-class classifiers into an N -class cla...
SIGIR
2011
ACM
12 years 11 months ago
2011
ACM
The situation in which a choice is made is an important information for recommender systems. Context-aware recommenders take this information into account to make predictions. So ...
ICML
2005
IEEE
14 years 9 months ago
2005
IEEE
Unsupervised learning methods often involve summarizing the data using a small number of parameters. In certain domains, only a small subset of the available data is relevant for ...