1614 search results - page 175 / 323 » Learning Rules and Their Exceptions |
114
Voted
ICML
2000
IEEE
16 years 4 months ago
2000
IEEE
Although Bayesian model averaging is theoretically the optimal method for combining learned models, it has seen very little use in machine learning. In this paper we study its app...
123
Voted
EUC
2005
Springer
15 years 9 months ago
2005
Springer
Advanced analysis of data for extracting useful knowledge is the next natural step in the world of ubiquitous computing. So far, most of the ubiquitous systems process knowledge in...
141
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LREC
2010
15 years 4 months ago
2010
We investigate the impact of input data scale in corpus-based learning using a study style of Zipf's law. In our research, Chinese word segmentation is chosen as the study ca...
130
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GECCO
2008
Springer
15 years 4 months ago
2008
Springer
We propose an algorithm for function approximation that evolves a set of hierarchical piece-wise linear regressors. The algorithm, named HIRE-Lin, follows the iterative rule learn...
133
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ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
Restricted Boltzmann machines were developed using binary stochastic hidden units. These can be generalized by replacing each binary unit by an infinite number of copies that all ...