2634 search results - page 90 / 527 » Argument based machine learning |
127
Voted
COLT
2007
Springer
15 years 8 months ago
2007
Springer
We present data-dependent error bounds for transductive learning based on transductive Rademacher complexity. For specific algorithms we provide bounds on their Rademacher complex...
116
Voted
ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
Optimization algorithms for large margin multiclass recognizers are often too costly to handle ambitious problems with structured outputs and exponential numbers of classes. Optim...
129
Voted
FPL
2009
Springer
15 years 7 months ago
2009
Springer
Restricted Boltzmann Machines (RBMs) — the building block for newly popular Deep Belief Networks (DBNs) — are a promising new tool for machine learning practitioners. However,...
112
Voted
ICML
2003
IEEE
16 years 3 months ago
2003
IEEE
We propose a general framework for support vector machines (SVM) based on the principle of multi-objective optimization. The learning of SVMs is formulated as a multiobjective pro...
109
Voted
ML
2002
ACM
15 years 2 months ago
2002
ACM
Model selection is an important ingredient of many machine learning algorithms, in particular when the sample size in small, in order to strike the right trade-off between overfitt...