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SDM
2012
SIAM
252views Data Mining» more  SDM 2012»
13 years 7 months ago
Learning from Heterogeneous Sources via Gradient Boosting Consensus
Multiple data sources containing different types of features may be available for a given task. For instance, users’ profiles can be used to build recommendation systems. In a...
Xiaoxiao Shi, Jean-François Paiement, David...
153
Voted
SI3D
1992
ACM
15 years 8 months ago
Volume Seedlings
Recent advances in software and hardware technology have made direct ray-traced volume rendering of 3-d scalar data a feasible and effective method for imaging of the data's ...
Michael F. Cohen, James S. Painter, Mihir Mehta, K...
CORR
2008
Springer
138views Education» more  CORR 2008»
15 years 4 months ago
Computing Minimum Spanning Trees with Uncertainty
Abstract. We consider the minimum spanning tree problem in a setting where information about the edge weights of the given graph is uncertain. Initially, for each edge e of the gra...
Thomas Erlebach, Michael Hoffmann 0002, Danny Kriz...
GCB
2003
Springer
82views Biometrics» more  GCB 2003»
15 years 10 months ago
Threshold extraction in metabolite concentration data
The further development of analytical techniques based on gas chromatography and mass spectrometry now facilitate the generation of larger sets of metabolite concentration data. T...
André Flöter, Jacques Nicolas, Torsten...
ICTAI
2007
IEEE
15 years 11 months ago
An Adaptive Distributed Ensemble Approach to Mine Concept-Drifting Data Streams
An adaptive boosting ensemble algorithm for classifying homogeneous distributed data streams is presented. The method builds an ensemble of classifiers by using Genetic Programmi...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...