153 search results - page 15 / 31 » An empirical comparison of supervised learning algorithms |
109
click to vote
ICML
2007
IEEE
16 years 14 days ago
2007
IEEE
A general framework is proposed for gradient boosting in supervised learning problems where the loss function is defined using a kernel over the output space. It extends boosting ...
AI
2006
Springer
15 years 3 months ago
2006
Springer
Gliomas are diffuse, invasive brain tumors. We propose a 3D classification-based diffusion model, cdm, that predicts how a glioma will grow at a voxel-level, on the basis of featur...
116
click to vote
ISDA
2010
IEEE
14 years 9 months ago
2010
IEEE
Real life datasets often suffer from the problem of class imbalance, which thwarts supervised learning process. In such data sets examples of positive (minority) class are signific...
NIPS
1997
15 years 1 months ago
1997
Program execution speed on modern computers is sensitive, by a factor of two or more, to the order in which instructions are presented to the processor. To realize potential execu...
118
click to vote
JMLR
2010
14 years 6 months ago
2010
Data extracted from microarrays are now considered an important source of knowledge about various diseases. Several studies based on microarray data and the use of receiver operat...