3378 search results - page 47 / 676 » Learning in Friedberg Numberings |
84
Voted
KAIS
2010
14 years 11 months ago
2010
In many real-world tasks there are abundant unlabeled examples but the number of labeled training examples is limited, because labeling the examples requires human efforts and exp...
99
Voted
COLT
1994
Springer
15 years 4 months ago
1994
Springer
We examine the relationship between the VCdimension and the number of parameters of a smoothly parametrized function class. We show that the VC-dimension of such a function class ...
117
Voted
SIAMJO
2010
14 years 7 months ago
2010
We study the problem of minimizing the expected loss of a linear predictor while constraining its sparsity, i.e., bounding the number of features used by the predictor. While the r...
127
Voted
TNN
2010
14 years 7 months ago
2010
Abstract--A crucial issue in designing learning machines is to select the correct model parameters. When the number of available samples is small, theoretical sample-based generali...
ICAISC
2004
Springer
15 years 5 months ago
2004
Springer
Abstract. Several methods were proposed to reduce the number of instances (vectors) in the learning set. Some of them extract only bad vectors while others try to remove as many in...