Sciweavers

10594 search results - page 133 / 2119
» Learning classifier systems
Sort
View
IJCAT
2010
133views more  IJCAT 2010»
15 years 9 days ago
A 3D shape classifier with neural network supervision
: The task of 3D shape classification is to assign a set of unordered shapes into pre-tagged classes with class labels, and find the most suitable class for a newly given shape. In...
Zhenbao Liu, Jun Mitani, Yukio Fukui, Seiichi Nish...
97
Voted
AUSAI
2004
Springer
15 years 7 months ago
Analyzing the Effect of Query Class on Document Retrieval Performance
Abstract. Analysis of queries posed to open-domain question-answering systems indicates that particular types of queries are dominant, e.g., queries about the identity of people, a...
Pawel Kowalczyk, Ingrid Zukerman, Michael Niemann
CVPR
2007
IEEE
15 years 5 months ago
Improving Part based Object Detection by Unsupervised, Online Boosting
Detection of objects of a given class is important for many applications. However it is difficult to learn a general detector with high detection rate as well as low false alarm r...
Bo Wu, Ram Nevatia
ICML
2006
IEEE
16 years 2 months ago
How boosting the margin can also boost classifier complexity
Boosting methods are known not to usually overfit training data even as the size of the generated classifiers becomes large. Schapire et al. attempted to explain this phenomenon i...
Lev Reyzin, Robert E. Schapire
ESANN
2008
15 years 3 months ago
An emphasized target smoothing procedure to improve MLP classifiers performance
Standard learning procedures are better fitted to estimation than to classification problems, and focusing the training on appropriate samples provides performance advantages in cl...
Soufiane El Jelali, Abdelouahid Lyhyaoui, An&iacut...