896 search results - page 139 / 180 » A Hybrid Approach to Adaptive Statistical Language Modeling |
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
BMCBI
2010
13 years 8 months ago
2010
Background: Natural selection eliminates detrimental and favors advantageous phenotypes. This process leaves characteristic signatures in underlying genomic segments that can be r...
ECMDAFA
2008
Springer
13 years 9 months ago
2008
Springer
Abstract. In this paper, we deal with errors in metamodels. Metamodels define the abstract syntax of modeling languages. They play a central role in the Model-Driven Architecture. ...
ACL
2006
13 years 9 months ago
2006
In this paper we report our work on building a POS tagger for a morphologically rich language- Hindi. The theme of the research is to vindicate the stand that- if morphology is st...
VL
2010
IEEE
13 years 6 months ago
2010
IEEE
Many errors in spreadsheet formulas can be avoided if spreadsheets are built automatically from higher-level models that can encode and enforce consistency constraints. However, d...