199 search results - page 37 / 40 » Accuracy of distance metric learning algorithms |
104
click to vote
MIR
2004
ACM
15 years 5 months ago
2004
ACM
In this paper, we propose an autonomous learning scheme to automatically build visual semantic concept models from the output data of Internet search engines without any manual la...
101
click to vote
IPSN
2010
Springer
15 years 7 months ago
2010
Springer
We consider the problem of selecting an optimal set of sensors, as determined, for example, by the predictive accuracy of the resulting sensor network. Given an underlying metric ...
120
click to vote
GECCO
2010
Springer
15 years 1 months ago
2010
Springer
Most highly accurate predictive modeling techniques produce opaque models. When comprehensible models are required, rule extraction is sometimes used to generate a transparent mod...
123
Voted
MICCAI
2009
Springer
16 years 1 months ago
2009
Springer
We present a novel method for the automatic detection and segmentation of (sub-)cortical gray matter structures in 3-D magnetic resonance images of the human brain. Essentially, th...
86
Voted
KDD
2010
ACM
15 years 4 months ago
2010
ACM
An ensemble is a set of learned models that make decisions collectively. Although an ensemble is usually more accurate than a single learner, existing ensemble methods often tend ...