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» Hypothesis Spaces for Learning
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144
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ICPR
2008
IEEE
16 years 5 months ago
Collaborative learning by boosting in distributed environments
In this paper we propose a new distributed learning method called distributed network boosting (DNB) algorithm for distributed applications. The learned hypotheses are exchanged b...
Shijun Wang, Changshui Zhang
EWCBR
2004
Springer
15 years 10 months ago
Exploiting Background Knowledge when Learning Similarity Measures
The definition of similarity measures—one core component of every CBR application—leads to a serious knowledge acquisition problem if domain and application specific requirem...
Thomas Gabel, Armin Stahl
VIS
2009
IEEE
399views Visualization» more  VIS 2009»
16 years 5 months ago
Visual Human+Machine Learning
In this paper we describe a novel method to integrate interactive visual analysis and machine learning to support the insight generation of the user. The suggested approach combine...
Raphael Fuchs, Jürgen Waser, Meister Eduard Gr...
147
Voted
KDD
2001
ACM
163views Data Mining» more  KDD 2001»
16 years 5 months ago
Learning to recognize brain specific proteins based on low-level features from on-line prediction servers
During the last decade, the area of bioinformatics has produced an overwhelming amount of data, with the recently published draft of the human genome being the most prominent exam...
Henrik Boström, Joakim Cöster, Lars Aske...
PAM
2010
Springer
15 years 11 months ago
A Learning-Based Approach for IP Geolocation
The ability to pinpoint the geographic location of IP hosts is compelling for applications such as on-line advertising and network attack diagnosis. While prior methods can accurat...
Brian Eriksson, Paul Barford, Joel Sommers, Robert...