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JCP
2006
74views more  JCP 2006»
13 years 7 months ago
Local Boosting of Decision Stumps for Regression and Classification Problems
Numerous data mining problems involve an investigation of associations between features in heterogeneous datasets, where different prediction models can be more suitable for differ...
Sotiris B. Kotsiantis, Dimitris Kanellopoulos, Pan...
TSMC
2008
136views more  TSMC 2008»
13 years 7 months ago
Learning Relational Descriptions of Differentially Expressed Gene Groups
Abstract-- This paper presents a method that uses gene ontologies, together with the paradigm of relational subgroup discovery, to find compactly described groups of genes differen...
Igor Trajkovski, Filip Zelezný, Nada Lavrac...
INTR
2007
152views more  INTR 2007»
13 years 7 months ago
Approaches for personalised knowledge retrieval
This paper proposes a hybrid approach for managing knowledge within companies based on communication between people. In addition to traditional Knowledge Management Systems our co...
Robert Loew, Katrin Kuemmel, Judith Ruprecht, Udo ...
MVA
2002
175views Computer Vision» more  MVA 2002»
13 years 7 months ago
Augmented geophysical data interpretation through automated velocity picking in semblance velocity images
Velocity Picking is the problem of picking velocity-time pairs based on a coherence metric between multiple seismic signals. Coherence as a function of velocity and time can be ex...
J. Ross Beveridge, Charlie Ross, L. Darrell Whitle...
NN
2002
Springer
136views Neural Networks» more  NN 2002»
13 years 7 months ago
Bayesian model search for mixture models based on optimizing variational bounds
When learning a mixture model, we suffer from the local optima and model structure determination problems. In this paper, we present a method for simultaneously solving these prob...
Naonori Ueda, Zoubin Ghahramani