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KDD
2000
ACM
153views Data Mining» more  KDD 2000»
15 years 7 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
193
Voted
MICCAI
2000
Springer
15 years 7 months ago
Small Sample Size Learning for Shape Analysis of Anatomical Structures
We present a novel approach to statistical shape analysis of anatomical structures based on small sample size learning techniques. The high complexity of shape models used in medic...
Polina Golland, W. Eric L. Grimson, Martha Elizabe...
PARA
1995
Springer
15 years 7 months ago
ScaLAPACK Tutorial
Abstract. ScaLAPACK is a library of high performance linear algebra routines for distributed memory MIMD computers. It is a continuation of the LAPACK project, which designed and p...
Jack Dongarra, Antoine Petitet
KDD
2010
ACM
249views Data Mining» more  KDD 2010»
15 years 6 months ago
Semi-supervised sparse metric learning using alternating linearization optimization
In plenty of scenarios, data can be represented as vectors mathematically abstracted as points in a Euclidean space. Because a great number of machine learning and data mining app...
Wei Liu, Shiqian Ma, Dacheng Tao, Jianzhuang Liu, ...
ESWS
2008
Springer
15 years 5 months ago
Conceptual Situation Spaces for Semantic Situation-Driven Processes
Context-awareness is a highly desired feature across several application domains. Semantic Web Services (SWS) technologies address context-adaptation by enabling the automatic disc...
Stefan Dietze, Alessio Gugliotta, John Domingue
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