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ICML
2005
IEEE
16 years 4 months ago
Hierarchic Bayesian models for kernel learning
The integration of diverse forms of informative data by learning an optimal combination of base kernels in classification or regression problems can provide enhanced performance w...
Mark Girolami, Simon Rogers
IJCAI
2001
15 years 4 months ago
Using Text Classifiers for Numerical Classification
Consider a supervised learning problem in which examples contain both numerical- and text-valued features. To use traditional featurevector-based learning methods, one could treat...
Sofus A. Macskassy, Haym Hirsh, Arunava Banerjee, ...
PODC
2010
ACM
15 years 5 months ago
Distributed data classification in sensor networks
Low overhead analysis of large distributed data sets is necessary for current data centers and for future sensor networks. In such systems, each node holds some data value, e.g., ...
Ittay Eyal, Idit Keidar, Raphael Rom
INTERACT
2003
15 years 4 months ago
Classification of Usability Problems (CUP) Scheme
: Defect classification can improve product quality and motivate process improvement. Several defect classification schemes have been developed and used with good results in softwa...
Ebba Thora Hvannberg, Effie Lai-Chong Law
ISCIS
2005
Springer
15 years 8 months ago
Classification of Volatile Organic Compounds with Incremental SVMs and RBF Networks
Support Vector Machines (SVMs) have been applied to solve the classification of volatile organic compounds (VOC) data in some recent studies. SVMs provide good generalization perfo...
Zeki Erdem, Robi Polikar, Nejat Yumusak, Fikret S....