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ICML
2004
IEEE
16 years 7 months ago
Learning large margin classifiers locally and globally
A new large margin classifier, named MaxiMin Margin Machine (M4 ) is proposed in this paper. This new classifier is constructed based on both a "local" and a "globa...
Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. ...
ICML
1996
IEEE
16 years 7 months ago
Learning Relational Concepts with Decision Trees
In this paper, we describe two di erent learning tasks for relational structures. When learning a classi er for structures, the relational structures in the training sets are clas...
Peter Geibel, Fritz Wysotzki
ISBI
2006
IEEE
16 years 7 months ago
Assessing the accuracy of non-rigid registration with and without ground truth
We compare two methods for assessing the performance of groupwise non-rigid registration algorithms. One approach, which has been described previously, utilizes a measure of overl...
Roy Schestowitz, Carole J. Twining, Timothy F. Coo...
KDD
2003
ACM
243views Data Mining» more  KDD 2003»
16 years 6 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
2005
ACM
16 years 6 months ago
Supporting efficient development of cognitive models at multiple skill levels: exploring recent advances in constraint-based mod
This paper presents X-PRT, a new cognitive modeling tool supporting activities ranging from interface design to basic cognitive research. X-PRT provides a graphical model developm...
Irene Tollinger, Richard L. Lewis, Michael McCurdy...