648 search results - page 2 / 130 » A general dimension for query learning |
SDM
2012
SIAM
11 years 7 months ago
2012
SIAM
Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
ISTCS
1997
Springer
13 years 8 months ago
1997
Springer
Kearns introduced the "statistical query" (SQ) model as a general method for producing learning algorithms which are robust against classification noise. We extend this ...
COLT
2004
Springer
13 years 10 months ago
2004
Springer
We consider the problem of learning a general graph using edge-detecting queries. In this model, the learner may query whether a set of vertices induces an edge of the hidden grap...
NN
2002
Springer
13 years 4 months ago
2002
Springer
We propose a new scheme for enlarging generalized learning vector quantization (GLVQ) with weighting factors for the input dimensions. The factors allow an appropriate scaling of ...
ICML
2002
IEEE
14 years 6 months ago
2002
IEEE
We study generalization properties of linear learning algorithms and develop a data dependent approach that is used to derive generalization bounds that depend on the margin distr...