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150
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ISRR
2005
Springer
16 years 10 days ago
2005
Springer
Why is probabilistic roadmap (PRM) planning probabilistic? How does the probability measure used for sampling a robot’s configuration space affect the performance of a PRM plan...
192
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ICML
2004
IEEE
16 years 8 days ago
2004
IEEE
The paper is concerned with two-class active learning. While the common approach for collecting data in active learning is to select samples close to the classification boundary,...
159
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PAKDD
2004
ACM
16 years 5 days ago
2004
ACM
Computational diagnosis of cancer is a classification problem, and it has two special requirements on a learning algorithm: perfect accuracy and small number of features used in t...
209
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ICDM
2003
IEEE
16 years 3 days ago
2003
IEEE
Semi-supervised learning methods construct classifiers using both labeled and unlabeled training data samples. While unlabeled data samples can help to improve the accuracy of trai...
193
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INFOCOM
2003
IEEE
16 years 3 days ago
2003
IEEE
— We investigate the problem of inferring the packet loss characteristics of Internet links using server-based measurements. Unlike much of existing work on network tomography th...