1196 search results - page 119 / 240 » Using Machine Learning Techniques to Combine Forecasting Met... |
CIKM
2008
Springer
13 years 11 months ago
2008
Springer
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
IROS
2009
IEEE
14 years 3 months ago
2009
IEEE
Abstract— Autonomous estimation of the altitude of an Unmanned Aerial Vehicle (UAV) is extremely important when dealing with flight maneuvers like landing, steady flight, etc. ...
GCB
2010
Springer
13 years 7 months ago
2010
Springer
: Despite recent advances in DNA chip technology current microarray gene expression studies are still affected by high noise levels, small sample sizes and large numbers of uninfor...
FUIN
2010
13 years 4 months ago
2010
Feature selection is an important preprocessing step in pattern analysis and machine learning. The key issue in feature selection is to evaluate quality of candidate features. In t...
EDUTAINMENT
2006
Springer
14 years 26 days ago
2006
Springer
In this paper, we formulate the image matting as one of solving energy minimization problems. Our approach has the following advantages. First, the matte estimation is modeled usin...