2440 search results - page 245 / 488 » Abstraction Learning |
98
Voted
AAAI
1994
15 years 2 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...
92
Voted
ECLIPSE
2004
ACM
15 years 4 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...
107
Voted
ECML
2007
Springer
15 years 7 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...
145
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SIGMOD
2012
ACM
13 years 3 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...
131
Voted
TNN
2010
14 years 7 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...