2665 search results - page 291 / 533 » Bundle Methods for Machine Learning |
125
Voted
ECML
2007
Springer
15 years 8 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...
114
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ECML
2007
Springer
15 years 8 months ago
2007
Springer
Boosting is a simple yet powerful modeling technique that is used in many machine learning and data mining related applications. In this paper, we propose a novel scale-space based...
132
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ICCS
1994
Springer
15 years 6 months ago
1994
Springer
This paper gives a data structure (UDS) for supporting database retrieval, inference and machine learning that attempts to unify and extend previous work in relational databases, ...
116
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FLAIRS
2007
15 years 4 months ago
2007
Ontologies are an increasingly important tool in knowledge representation, as they allow large amounts of data to be related in a logical fashion. Current research is concentrated...
98
Voted
ICMLA
2008
15 years 3 months ago
2008
When using machine learning for in silico modeling, the goal is normally to obtain highly accurate predictive models. Often, however, models should also bring insights into intere...