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» The Tradeoffs of Large Scale Learning
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ICAISC
2004
Springer
14 years 1 months ago
Relevance LVQ versus SVM
Abstract. The support vector machine (SVM) constitutes one of the most successful current learning algorithms with excellent classification accuracy in large real-life problems an...
Barbara Hammer, Marc Strickert, Thomas Villmann
RTAS
1997
IEEE
14 years 5 days ago
Scalable Hardware Priority Queue Architectures for High-Speed Packet Switches
ÐWith effective packet-scheduling mechanisms, modern integrated networks can support the diverse quality-of-service requirements of emerging applications. However, arbitrating bet...
Sung-Whan Moon, Kang G. Shin, Jennifer Rexford
ICML
1994
IEEE
13 years 11 months ago
Efficient Algorithms for Minimizing Cross Validation Error
Model selection is important in many areas of supervised learning. Given a dataset and a set of models for predicting with that dataset, we must choose the model which is expected...
Andrew W. Moore, Mary S. Lee
CVPR
2011
IEEE
13 years 3 months ago
Random Field Topic Model for Semantic Region Analysis in Crowded Scenes from Tracklets
In this paper, a Random Field Topic (RFT) model is proposed for semantic region analysis from motions of objects in crowded scenes. Different from existing approaches of learning ...
Bolei Zhou, Xiaogang Wang
ECTEL
2009
Springer
14 years 2 months ago
Sharing Corpora and Tools to Improve Interaction Analysis
A very wide range of online interaction analysis staying in the hands of researchers, and tools being implemented in research prototypes, often used only in non-replicated experime...
Christophe Reffay, Marie-Laure Betbeder