2898 search results - page 345 / 580 » Ensemble Methods in Machine Learning |
153
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ICML
2008
IEEE
16 years 8 months ago
2008
IEEE
We consider feature extraction (dimensionality reduction) for compositional data, where the data vectors are constrained to be positive and constant-sum. In real-world problems, t...
241
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KDD
2007
ACM
16 years 7 months ago
2007
ACM
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and different r...
202
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ECML
2007
Springer
16 years 1 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...
197
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ECML
2007
Springer
16 years 1 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...
207
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ICCS
1994
Springer
15 years 11 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, ...