1034 search results - page 127 / 207 » A Bayesian Metric for Evaluating Machine Learning Algorithms |
94
Voted
ICCV
2007
IEEE
16 years 2 months ago
2007
IEEE
We present a Bayesian framework for learning higherorder transition models in video surveillance networks. Such higher-order models describe object movement between cameras in the...
94
Voted
CIARP
2008
Springer
15 years 2 months ago
2008
Springer
The performance of supervised learners depends on the presence of a relatively large labeled sample. This paper proposes an automatic ongoing learning system, which is able to inco...
KDD
1998
ACM
15 years 4 months ago
1998
ACM
Business users and analysts commonly use spreadsheets and 2D plots to analyze and understand their data. On-line Analytical Processing (OLAP) provides these users with added flexi...
89
Voted
BMCBI
2010
15 years 20 days ago
2010
Background: MHC class II binding predictions are widely used to identify epitope candidates in infectious agents, allergens, cancer and autoantigens. The vast majority of predicti...
119
Voted
SAC
2006
ACM
15 years 6 months ago
2006
ACM
In this paper we propose PARTfs which adopts a supervised machine learning algorithm, namely partial decision trees, as a method for feature subset selection. In particular, it is...