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COLT
2000
Springer
16 years 1 days ago
PAC Analogues of Perceptron and Winnow via Boosting the Margin
We describe a novel family of PAC model algorithms for learning linear threshold functions. The new algorithms work by boosting a simple weak learner and exhibit complexity bounds...
Rocco A. Servedio
INFOCOM
1998
IEEE
15 years 12 months ago
TCP Fast Recovery Strategies: Analysis and Improvements
This paper suggests that, to match an ideal Internet gateway which rigorously enforces fair sharing among competing TCP connections, an ideal TCP sender should possess two propert...
Dong Lin, H. T. Kung
AGENTS
1998
Springer
15 years 12 months ago
Learning Situation-Dependent Costs: Improving Planning from Probabilistic Robot Execution
Physical domains are notoriously hard to model completely and correctly, especially to capture the dynamics of the environment. Moreover, since environments change, it is even mor...
Karen Zita Haigh, Manuela M. Veloso
ICB
2007
Springer
207views Biometrics» more  ICB 2007»
15 years 11 months ago
Super-Resolved Faces for Improved Face Recognition from Surveillance Video
Characteristics of surveillance video generally include low resolution and poor quality due to environmental, storage and processing limitations. It is extremely difficult for comp...
Frank Lin, Clinton Fookes, Vinod Chandran, Sridha ...
APBC
2004
132views Bioinformatics» more  APBC 2004»
15 years 9 months ago
A Novel Feature Selection Method to Improve Classification of Gene Expression Data
This paper introduces a novel method for minimum number of gene (feature) selection for a classification problem based on gene expression data with an objective function to maximi...
Liang Goh, Qun Song, Nikola K. Kasabov