2898 search results - page 345 / 580 » Ensemble Methods in Machine Learning |
120
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ICML
2008
IEEE
16 years 5 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...
180
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KDD
2007
ACM
16 years 5 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...
144
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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...
137
Voted
ECML
2007
Springer
15 years 10 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...
155
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ICCS
1994
Springer
15 years 8 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, ...