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SDM
2010
SIAM
195views Data Mining» more  SDM 2010»
15 years 1 months ago
Adaptive Informative Sampling for Active Learning
Many approaches to active learning involve periodically training one classifier and choosing data points with the lowest confidence. An alternative approach is to periodically cho...
Zhenyu Lu, Xindong Wu, Josh Bongard
SWWS
2008
15 years 1 months ago
A Harmony based Adaptive Ontology Mapping Approach
- Ontology mapping seeks to find semantic correspondences between similar elements of different ontologies. Ontology mapping is critical to achieve semantic interoperability in the...
Ming Mao, Yefei Peng, Michael Spring
AVI
2004
15 years 1 months ago
Observing and adapting user behavior in navigational 3D interfaces
In a navigation-oriented interaction paradigm, such as desktop, mixed and augmented virtual reality, recognizing the user needs is a valuable improvement, provided that the system...
Augusto Celentano, Fabio Pittarello
HIS
2004
15 years 1 months ago
Adaptive Boosting with Leader based Learners for Classification of Large Handwritten Data
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agr...
NIPS
2004
15 years 1 months ago
Adaptive Discriminative Generative Model and Its Applications
This paper presents an adaptive discriminative generative model that generalizes the conventional Fisher Linear Discriminant algorithm and renders a proper probabilistic interpret...
Ruei-Sung Lin, David A. Ross, Jongwoo Lim, Ming-Hs...