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ISMIS
2005
Springer
15 years 5 months ago
Scalable Inductive Learning on Partitioned Data
With the rapid advancement of information technology, scalability has become a necessity for learning algorithms to deal with large, real-world data repositories. In this paper, sc...
Qijun Chen, Xindong Wu, Xingquan Zhu
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
15 years 3 months ago
Genetic evolution of hierarchical behavior structures
The development of coherent and dynamic behaviors for mobile robots is an exceedingly complex endeavor ruled by task objectives, environmental dynamics and the interactions within...
Brian G. Woolley, Gilbert L. Peterson
JUCS
2006
146views more  JUCS 2006»
14 years 11 months ago
Health Monitoring and Assistance to Support Aging in Place
: To many people, home is a sanctuary. For those people who need special medical care, they may need to be pulled out of their home to meet their medical needs. As the population a...
Diane J. Cook
KDD
2006
ACM
165views Data Mining» more  KDD 2006»
16 years 3 days ago
Training linear SVMs in linear time
Linear Support Vector Machines (SVMs) have become one of the most prominent machine learning techniques for highdimensional sparse data commonly encountered in applications like t...
Thorsten Joachims
KDD
2003
ACM
243views Data Mining» more  KDD 2003»
16 years 3 days 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