218 search results - page 39 / 44 » Hierarchical Text Categorization Using Neural Networks |
ISIWI
2000
13 years 9 months ago
2000
(Automatic) document classification is generally defined as content-based assignment of one or more predefined categories to documents. Usually, machine learning, statistical patt...
IJCNN
2000
IEEE
14 years 1 days ago
2000
IEEE
The main aim of this paper is to develop a suitable regression analysis model for describing the relationship between the index efficiency and the parameters of the Rival Penaliz...
NECO
2007
13 years 7 months ago
2007
We present a hierarchical architecture and learning algorithm for visual recognition and other visual inference tasks such as imagination, reconstruction of occluded images, and e...
CN
2004
13 years 7 months ago
2004
QoS routing involves selection of paths for flows based on the knowledge at network nodes about the availability of resources along paths, and the QoS requirements of flows. Sever...
JMLR
2012
11 years 10 months ago
2012
Grid search and manual search are the most widely used strategies for hyper-parameter optimization. This paper shows empirically and theoretically that randomly chosen trials are ...