246 search results - page 37 / 50 » Calibrating Random Forests |
76
Voted
BIBE
2005
IEEE
15 years 3 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
15 years 3 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
15 years 1 months 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 ...
108
Voted
FPGA
2010
ACM
15 years 25 days 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
14 years 11 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...