246 search results - page 37 / 50 » Calibrating Random Forests |
BIBE
2005
IEEE
14 years 2 months ago
2005
IEEE
We introduce a new ensemble method based on decision tree to discover significant and diversified rules for subtype classification of childhood acute lymphoblastic leukemia, a ...
HIPC
2005
Springer
14 years 2 months ago
2005
Springer
Several challenging new applications demand the ability to do data mining on resource constrained devices. One such application is that of monitoring physiological data streams ob...
ECML
2007
Springer
14 years 18 days ago
2007
Springer
Abstract. Ensemble methods are able to improve the predictive performance of many base classifiers. Up till now, they have been applied to classifiers that predict a single target ...
FPGA
2010
ACM
13 years 12 months ago
2010
ACM
Multi-ported memories are challenging to implement with FPGAs since the provided block RAMs typically have only two ports. We present a thorough exploration of the design space of...
ICMLA
2008
13 years 10 months ago
2008
When using machine learning for in silico modeling, the goal is normally to obtain highly accurate predictive models. Often, however, models should also bring insights into intere...