3643 search results - page 81 / 729 » Learning Submodular Functions |
94
Voted
NPL
2006
14 years 10 months ago
2006
Effective backpropagation training of multi-layer perceptrons depends on the incorporation of an appropriate error or objective function. Classification-based (CB) error functions ...
91
Voted
CVPR
2005
IEEE
16 years 7 days ago
2005
IEEE
Kernel functions are often cited as a mechanism to encode prior knowledge of a learning task. But it can be difficult to capture prior knowledge effectively. For example, we know ...
KI
2007
Springer
15 years 4 months ago
2007
Springer
Abstract. We compare three systems for the task of synthesising functional recursive programs, namely Adate, an approach through evolutionary computation, the classification learn...
83
Voted
NIPS
1994
14 years 11 months ago
1994
This paper discusses the linearly weighted combination of estimators in which the weighting functions are dependent on the input. We show that the weighting functions can be deriv...
107
Voted
JMLR
2002
14 years 10 months ago
2002
Recently, sample complexity bounds have been derived for problems involving linear functions such as neural networks and support vector machines. In many of these theoretical stud...