1662 search results - page 144 / 333 » Generation of Attributes for Learning Algorithms |
EMNLP
2011
12 years 9 months ago
2011
We propose a general method to watermark and probabilistically identify the structured outputs of machine learning algorithms. Our method is robust to local editing operations and...
ICML
2004
IEEE
14 years 10 months ago
2004
IEEE
We present a method for constructing ensembles from libraries of thousands of models. Model libraries are generated using different learning algorithms and parameter settings. For...
NIPS
2007
13 years 10 months ago
2007
We show how to use unlabeled data and a deep belief net (DBN) to learn a good covariance kernel for a Gaussian process. We first learn a deep generative model of the unlabeled da...
CP
1998
Springer
14 years 1 months ago
1998
Springer
A well-studied problem in the electric power industry is that of optimally scheduling preventative maintenance of power generating units within a power plant. We show how these pr...
ALT
2005
Springer
14 years 6 months ago
2005
Springer
This paper deals with an unusual phenomenon where most machine learning algorithms yield good performance on the training set but systematically worse than random performance on th...