1535 search results - page 48 / 307 » A Graph Based Data Model for Graphics Interpretation |
144
Voted
MLDM
2005
Springer
15 years 8 months ago
2005
Springer
Abstract. In supervised learning, discretization of the continuous explanatory attributes enhances the accuracy of decision tree induction algorithms and naive Bayes classifier. M...
170
Voted
SDM
2008
SIAM
15 years 4 months ago
2008
SIAM
Graph data such as chemical compounds and XML documents are getting more common in many application domains. A main difficulty of graph data processing lies in the intrinsic high ...
HAIS
2010
Springer
15 years 7 months ago
2010
Springer
The intuition behind ensembles is that different prediciton models compensate each other’s errors if one combines them in an appropriate way. In case of large ensembles a lot of...
128
Voted
BMCBI
2004
15 years 2 months ago
2004
Background: Many proteomics initiatives require a seamless bioinformatics integration of a range of analytical steps between sample collection and systems modeling immediately ass...
101
Voted
NIPS
2004
15 years 4 months ago
2004
This paper investigates a new learning model in which the input data is corrupted with noise. We present a general statistical framework to tackle this problem. Based on the stati...