1427 search results - page 184 / 286 » Kernels for Semi-Structured Data |
135
Voted
NECO
2011
14 years 7 months ago
2011
Selection of an optimal estimator typically relies on either supervised training samples (pairs of measurements and their associated true values), or a prior probability model for...
184
click to vote
VLSISP
2011
14 years 7 months ago
2011
Machine-learning algorithms are employed in a wide variety of applications to extract useful information from data sets, and many are known to suffer from superlinear increases in ...
120
click to vote
ANNPR
2008
Springer
15 years 2 months ago
2008
Springer
Clustering constitutes an ubiquitous problem when dealing with huge data sets for data compression, visualization, or preprocessing. Prototype-based neural methods such as neural g...
NIPS
2000
15 years 2 months ago
2000
We present a novel method for clustering using the support vector machine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to d...
132
click to vote
SCHOLARPEDIA
2008
14 years 11 months ago
2008
We present a novel method for clustering using the support vector machine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to d...