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JMLR
2002
111views more  JMLR 2002»
15 years 6 months ago
The Learning-Curve Sampling Method Applied to Model-Based Clustering
We examine the learning-curve sampling method, an approach for applying machinelearning algorithms to large data sets. The approach is based on the observation that the computatio...
Christopher Meek, Bo Thiesson, David Heckerman
CAEPIA
2003
Springer
15 years 10 months ago
Employing TSK Fuzzy Models to Automate the Revision Stage of a CBR System
CBR systems are normally used to assist experts in the resolution of problems. During the last few years, researchers have been working in the development of techniques to automate...
Florentino Fernández Riverola, Juan M. Corc...
ICIAP
2009
ACM
16 years 7 months ago
Multi-class Binary Symbol Classification with Circular Blurred Shape Models
Multi-class binary symbol classification requires the use of rich descriptors and robust classifiers. Shape representation is a difficult task because of several symbol distortions...
Sergio Escalera, Alicia Fornés, Oriol Pujol...
KDD
2009
ACM
230views Data Mining» more  KDD 2009»
15 years 11 months ago
Grouped graphical Granger modeling methods for temporal causal modeling
We develop and evaluate an approach to causal modeling based on time series data, collectively referred to as“grouped graphical Granger modeling methods.” Graphical Granger mo...
Aurelie C. Lozano, Naoki Abe, Yan Liu, Saharon Ros...
NETGAMES
2003
ACM
15 years 12 months ago
Mobility and stability evaluation in wireless multi-hop networks using multi-player games
Plenty of work was contributed in the field of protocol design and performance evaluation of multi-hop networks. It is generally accepted that mobility has a huge impact on the p...
Frank H. P. Fitzek, Leonardo Badia, Michele Zorzi,...