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KDD
2003
ACM
243views Data Mining» more  KDD 2003»
16 years 5 months ago
Accurate decision trees for mining high-speed data streams
In this paper we study the problem of constructing accurate decision tree models from data streams. Data streams are incremental tasks that require incremental, online, and any-ti...
João Gama, Pedro Medas, Ricardo Rocha
CHI
2008
ACM
16 years 5 months ago
Attention by proxy? issues in audience awareness for webcasts to distributed groups
Instructor/student interaction in e-learning environments can positively impact both student learning and instructor satisfaction. In online webcast lectures, however, interaction...
Jeremy P. Birnholtz, Clarissa Mak, Saul Greenberg,...
ICDCS
2002
IEEE
15 years 10 months ago
A Fully Distributed Framework for Cost-Sensitive Data Mining
Data mining systems aim to discover patterns and extract useful information from facts recorded in databases. A widely adopted approach is to apply machine learning algorithms to ...
Wei Fan, Haixun Wang, Philip S. Yu, Salvatore J. S...
140
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ICML
2007
IEEE
16 years 6 months ago
Piecewise pseudolikelihood for efficient training of conditional random fields
Discriminative training of graphical models can be expensive if the variables have large cardinality, even if the graphical structure is tractable. In such cases, pseudolikelihood...
Charles A. Sutton, Andrew McCallum
DAGM
2006
Springer
15 years 9 months ago
Towards Unsupervised Discovery of Visual Categories
Recently, many approaches have been proposed for visual object category detection. They vary greatly in terms of how much supervision is needed. High performance object detection m...
Mario Fritz, Bernt Schiele