4930 search results - page 147 / 986 » Learning minimal abstractions |
85
Voted
FINTAL
2006
15 years 4 months ago
2006
Abstract. This paper presents a machine learning approach for paraphrase identification which uses lexical and semantic similarity information. In the experimental studies, we exam...
126
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ICICIC
2006
IEEE
15 years 6 months ago
2006
IEEE
Traditional nonlinear filtering techniques are observed in underutilization of blur identification techniques, and vice versa. To improve blind image restoration, a designed edg...
129
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RSCTC
1993
Springer
15 years 4 months ago
1993
Springer
This paper focuses on the application of rough set constructs to inductive learning from a database. A design guideline is suggested, which provides users the option to choose app...
106
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TIT
2002
15 years 12 days ago
2002
Principal curves, like principal components, are a tool used in multivariate analysis for ends like feature extraction. Defined in their original form, principal curves need not ex...
120
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ITRE
2005
IEEE
15 years 6 months ago
2005
IEEE
A Bayesian network model is a popular technique for data mining due to its intuitive interpretation. This paper presents a semantic genetic algorithm (SGA) to learn a complete qual...