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JMLR
2006
99views more  JMLR 2006»
13 years 10 months ago
Worst-Case Analysis of Selective Sampling for Linear Classification
A selective sampling algorithm is a learning algorithm for classification that, based on the past observed data, decides whether to ask the label of each new instance to be classi...
Nicolò Cesa-Bianchi, Claudio Gentile, Luca ...
ICIP
2009
IEEE
14 years 11 months ago
Seed Image Selection In Interactive Cosegmentation
Interactive image segmentation is a powerful paradigm that allows users to direct the segmentation algorithm towards a desired output. However, marking scribbles on multiple image...
WWW
2009
ACM
14 years 5 months ago
Threshold selection for web-page classification with highly skewed class distribution
We propose a novel cost-efficient approach to threshold selection for binary web-page classification problems with imbalanced class distributions. In many binary-classification ta...
Xiaofeng He, Lei Duan, Yiping Zhou, Byron Dom
WOSP
2005
ACM
14 years 3 months ago
Performance characterization of decentralized algorithms for replica selection in distributed object systems
Designers of distributed systems often rely on replicas for increased robustness, scalability, and performance. Replicated server architectures require some technique to select a ...
Ceryen Tan, Kevin Mills
CIA
2001
Springer
14 years 2 months ago
Equilibria Strategies for Selecting Sellers and Satisfying Buyers
We consider marketplaces where buyers and sellers iteratively encounter to trade. Given some specific trade conditions, the question that we address is what strategies should buy...
Claudia V. Goldman, Sarit Kraus, Onn Shehory