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ML
2002
ACM
246views Machine Learning» more  ML 2002»
15 years 6 months ago
Bayesian Clustering by Dynamics
This paper introduces a Bayesian method for clustering dynamic processes. The method models dynamics as Markov chains and then applies an agglomerative clustering procedure to disc...
Marco Ramoni, Paola Sebastiani, Paul R. Cohen
MLQ
2011
14 years 9 months ago
Coding into HOD via normal measures with some applications
We develop a new method for coding sets while preserving gch in the presence of large cardinals, particularly supercompact cardinals. We will use the number of normal measures carr...
Arthur W. Apter, Shoshana Friedman
ICPR
2008
IEEE
16 years 7 months ago
Learning weighted distances for relevance feedback in image retrieval
We present a new method for relevance feedback in image retrieval and a scheme to learn weighted distances which can be used in combination with different relevance feedback metho...
Enrique Vidal, Hermann Ney, Roberto Paredes, Thoma...
ICALT
2007
IEEE
16 years 22 days ago
A Collaborative Support Tool for Creativity Learning: Idea Storming Cube
Creativity plays an important role in many learning activities but how to enhance creativity with the support of modern computer tools deserves further studies. In this paper, we ...
Chun-Chieh Huang, Tsai-Yen Li, Hao-Chuan Wang, Chu...
UAI
2000
15 years 7 months ago
Variational Relevance Vector Machines
The Support Vector Machine (SVM) of Vapnik [9] has become widely established as one of the leading approaches to pattern recognition and machine learning. It expresses predictions...
Christopher M. Bishop, Michael E. Tipping