147 search results - page 24 / 30 » Agnostic Learning with Ensembles of Classifiers |
MCS
2009
Springer
14 years 2 months ago
2009
Springer
We have recently introduced an incremental learning algorithm, Learn++ .NSE, for Non-Stationary Environments, where the data distribution changes over time due to concept drift. Le...
FSS
2008
13 years 9 months ago
2008
This paper introduces a new approach to classification which combines pairwise decomposition techniques with ideas and tools from fuzzy preference modeling. More specifically, our...
ACCV
2009
Springer
14 years 1 months ago
2009
Springer
We study the problem of classifying images into a given, pre-determined taxonomy. The task can be elegantly translated into the structured learning framework. Structured learning, ...
KDD
2006
ACM
14 years 10 months ago
2006
ACM
Mining data streams of changing class distributions is important for real-time business decision support. The stream classifier must evolve to reflect the current class distributi...
BMCBI
2010
13 years 9 months ago
2010
Background: Random forest, an ensemble based supervised machine learning algorithm, is used to predict the SCOP structural classification for a target structure, based on the simi...