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KDD
2000
ACM
153views Data Mining» more  KDD 2000»
15 years 6 months ago
The generalized Bayesian committee machine
In this paper we introduce the Generalized Bayesian Committee Machine (GBCM) for applications with large data sets. In particular, the GBCM can be used in the context of kernel ba...
Volker Tresp
BMCBI
2007
157views more  BMCBI 2007»
15 years 3 months ago
Statistical learning of peptide retention behavior in chromatographic separations: a new kernel-based approach for computational
Background: High-throughput peptide and protein identification technologies have benefited tremendously from strategies based on tandem mass spectrometry (MS/MS) in combination wi...
Nico Pfeifer, Andreas Leinenbach, Christian G. Hub...
ECML
2005
Springer
15 years 8 months ago
A Distance-Based Approach for Action Recommendation
Abstract. Rule induction has attracted a great deal of attention in Machine Learning and Data Mining. However, generating rules is not an end in itself because their applicability ...
Ronan Trepos, Ansaf Salleb, Marie-Odile Cordier, V...
ICML
2008
IEEE
16 years 4 months ago
Modified MMI/MPE: a direct evaluation of the margin in speech recognition
In this paper we show how common speech recognition training criteria such as the Minimum Phone Error criterion or the Maximum Mutual Information criterion can be extended to inco...
Georg Heigold, Hermann Ney, Ralf Schlüter, Th...
APAL
2011
14 years 10 months ago
The Suslin operator in applicative theories: Its proof-theoretic analysis via ordinal theories
The Suslin operator E1 is a type-2 functional testing for the wellfoundedness of binary relations on the natural numbers. In the context of applicative theories, its proof-theoret...
Gerhard Jäger, Dieter Probst