1012 search results - page 91 / 203 » A Learning Classifier Approach to Tomography |
121
click to vote
INTERSPEECH
2010
14 years 11 months ago
2010
Our goal is to automatically learn a perceptually-optimal target cost function for a unit selection speech synthesiser. The approach we take here is to train a classifier on human...
119
click to vote
WILF
2007
Springer
15 years 10 months ago
2007
Springer
Abstract. We present a machine learning approach for classifying sentences as one-liner jokes or normal sentences. We use no deep analysis of the meaning to try to see if it is hum...
159
click to vote
ICCV
2005
IEEE
16 years 6 months ago
2005
IEEE
In recent years Kernel Principal Component Analysis (Kernel PCA) has gained much attention because of its ability to capture nonlinear image features, which are particularly impor...
144
click to vote
GECCO
2009
Springer
15 years 8 months ago
2009
Springer
Radiologists disagree with each other over the characteristics and features of what constitutes a normal mammogram and the terminology to use in the associated radiology report. R...
151
click to vote
ECML
2007
Springer
15 years 8 months ago
2007
Springer
Abstract. Ensemble methods are popular learning methods that usually increase the predictive accuracy of a classifier though at the cost of interpretability and insight in the deci...