2898 search results - page 40 / 580 » Ensemble Methods in Machine Learning |
RTCSA
2007
IEEE
14 years 2 months ago
2007
IEEE
Activity recognition is a hot topic in context-aware computing. In activity recognition, machine learning techniques have been widely applied to learn the activity models from lab...
TSD
2010
Springer
13 years 5 months ago
2010
Springer
The main idea of a priori machine learning is to apply a machine learning method on a machine learning problem itself. We call it "a priori" because the processed data se...
JMLR
2006
13 years 7 months ago
2006
An ensemble is a group of learning models that jointly solve a problem. However, the ensembles generated by existing techniques are sometimes unnecessarily large, which can lead t...
IUI
2005
ACM
14 years 1 months ago
2005
ACM
XML has emerged as the primary standard of data representation and data exchange [13]. Although many software tools exist to assist the XML implementation process, data must be ma...
CISSE
2008
Springer
13 years 9 months ago
2008
Springer
We live in the information age, where the amount of data readily available already overwhelms our capacity to analyze and absorb it without help from our machines. In particular, ...