2878 search results - page 115 / 576 » Learning the Common Structure of Data |
143
Voted
ISMB
1993
15 years 4 months ago
1993
Weintroduce a parallel approach, "DT-SELECT," for selecting features used by inductive learning algorithms to predict protein secondary structure. DT-SELECTis able to ra...
128
Voted
EMNLP
2009
15 years 1 months ago
2009
This paper describes an empirical study of high-performance dependency parsers based on a semi-supervised learning approach. We describe an extension of semisupervised structured ...
117
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DILS
2005
Springer
15 years 5 months ago
2005
Springer
Integrating data involving chemical structures is simplified when unique identifiers (UIDs) can be associated with chemical structures. For example, these identifiers can be use...
148
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UAI
1996
15 years 4 months ago
1996
This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...
131
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ECML
2001
Springer
15 years 8 months ago
2001
Springer
Conventional work on scienti c discovery such as BACON derives empirical law equations from experimental data. In recent years, SDS introducing mathematical admissibility constrain...