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» Training of Support Vector Machines with Mahalanobis Kernels
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NAR
2006
89views more  NAR 2006»
15 years 5 months ago
AlgPred: prediction of allergenic proteins and mapping of IgE epitopes
In this study a systematic attempt has been made to integrate various approaches in order to predict allergenic proteins with high accuracy. The dataset used for testing and train...
Sudipto Saha, G. P. S. Raghava
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
15 years 9 months ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa
SSPR
2010
Springer
15 years 4 months ago
Information Theoretical Kernels for Generative Embeddings Based on Hidden Markov Models
Many approaches to learning classifiers for structured objects (e.g., shapes) use generative models in a Bayesian framework. However, state-of-the-art classifiers for vectorial d...
André F. T. Martins, Manuele Bicego, Vittor...
ESWS
2008
Springer
15 years 7 months ago
Adding Data Mining Support to SPARQL Via Statistical Relational Learning Methods
Exploiting the complex structure of relational data enables to build better models by taking into account the additional information provided by the links between objects. We exten...
Christoph Kiefer, Abraham Bernstein, André ...
ESANN
2007
15 years 7 months ago
One-class SVM regularization path and comparison with alpha seeding
One-class support vector machines (1-SVMs) estimate the level set of the underlying density observed data. Aside the kernel selection issue, one difficulty concerns the choice of t...
Alain Rakotomamonjy, Manuel Davy