824 search results - page 97 / 165 » Learning probabilistic logic models from probabilistic examp... |
128
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PR
2010
15 years 2 months ago
2010
Aggregating statistical representations of classes is an important task for current trends in scaling up learning and recognition, or for addressing them in distributed infrastruc...
118
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SIGMOD
2001
ACM
16 years 4 months ago
2001
ACM
In this paper we present a method for automatically segmenting unformatted text records into structured elements. Several useful data sources today are human-generated as continuo...
158
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JMLR
2010
14 years 10 months ago
2010
Directed acyclic graph (DAG) models are popular tools for describing causal relationships and for guiding attempts to learn them from data. In particular, they appear to supply a ...
144
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ICML
2006
IEEE
16 years 4 months ago
2006
IEEE
A family of probabilistic time series models is developed to analyze the time evolution of topics in large document collections. The approach is to use state space models on the n...
131
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NAACL
2010
15 years 1 months ago
2010
Extraction of entities from ad creatives is an important problem that can benefit many computational advertising tasks. Supervised and semi-supervised solutions rely on labeled da...