1034 search results - page 25 / 207 » A Bayesian Metric for Evaluating Machine Learning Algorithms |
KBSE
2007
IEEE
14 years 1 months ago
2007
IEEE
Adoption of advanced automated SE (ASE) tools would be favored if a business case could be made that these tools are more valuable than alternate methods. In theory, software pred...
ICDM
2009
IEEE
13 years 5 months ago
2009
IEEE
There has been significant recent interest in sparse metric learning (SML) in which we simultaneously learn both a good distance metric and a low-dimensional representation. Unfor...
ML
2010
ACM
13 years 5 months ago
2010
ACM
In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with...
VLSISP
2011
13 years 2 months 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 ...
GEM
2008
13 years 8 months ago
2008
Classifying the endgame positions in Chess can be challenging for humans and is known to be a difficult task in machine learning. An evolutionary algorithm would seem to be the ide...