2252 search results - page 211 / 451 » A distributed machine learning framework |
114
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ICML
2008
IEEE
16 years 3 months ago
2008
IEEE
Discovering additive structure is an important step towards understanding a complex multi-dimensional function because it allows the function to be expressed as the sum of lower-d...
ICML
2008
IEEE
16 years 3 months ago
2008
IEEE
The dynamic hierarchical Dirichlet process (dHDP) is developed to model the timeevolving statistical properties of sequential data sets. The data collected at any time point are r...
101
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ICML
2006
IEEE
16 years 3 months ago
2006
IEEE
In this paper we study a new framework introduced by Vapnik (1998) and Vapnik (2006) that is an alternative capacity concept to the large margin approach. In the particular case o...
125
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ICML
2004
IEEE
16 years 3 months ago
2004
IEEE
In this paper we focus on the adaptation of boosting to grammatical inference. We aim at improving the performances of state merging algorithms in the presence of noisy data by us...
144
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ICML
2001
IEEE
16 years 3 months ago
2001
IEEE
We present conditional random fields, a framework for building probabilistic models to segment and label sequence data. Conditional random fields offer several advantages over hid...