2440 search results - page 245 / 488 » Abstraction Learning |
126
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AAAI
1994
15 years 5 months ago
1994
We consider using machine learning techniques to help understand a large software system. In particular, we describe how learning techniques can be used to reconstruct abstract Da...
127
Voted
ECLIPSE
2004
ACM
15 years 7 months ago
2004
ACM
Object-oriented software development is a subject area difficult to teach, especially to beginners. They face a lot of abstraction and (from a beginners point of view) isolated to...
141
Voted
ECML
2007
Springer
15 years 10 months ago
2007
Springer
Abstract. Statistical debugging uses machine learning to model program failures and help identify root causes of bugs. We approach this task using a novel Delta-Latent-Dirichlet-Al...
182
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SIGMOD
2012
ACM
13 years 6 months ago
2012
ACM
Shark is a research data analysis system built on a novel rained distributed shared-memory abstraction. Shark marries query processing with deep data analysis, providing a unifie...
155
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TNN
2010
14 years 10 months ago
2010
Abstract--A crucial issue in designing learning machines is to select the correct model parameters. When the number of available samples is small, theoretical sample-based generali...