2090 search results - page 32 / 418 » Learning with attribute costs |
PAKDD
2000
ACM
13 years 11 months ago
2000
ACM
Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...
ICAISC
2004
Springer
14 years 1 months ago
2004
Springer
This paper presents a novel approach to financial time series analysis and prediction. It is mainly devoted to the problem of forecasting university facility and administrative co...
ICDE
2005
IEEE
14 years 9 months ago
2005
IEEE
Sensor networks and other distributed information systems (such as the Web) must frequently access data that has a high per-attribute acquisition cost, in terms of energy, latency...
CIDM
2009
IEEE
14 years 2 months ago
2009
IEEE
Abstract— Scheme-specific attribute selection with the wrapper and variants of forward selection is a popular attribute selection technique for classification that yields good ...
SOCO
2008
Springer
13 years 7 months ago
2008
Springer
Attribute reduction of an information system is a key problem in rough set theory and its applications. Using computational intelligence (CI) tools to solve such problems has rece...