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ICML
2005
IEEE
16 years 3 months ago
Unifying the error-correcting and output-code AdaBoost within the margin framework
In this paper, we present a new interpretation of AdaBoost.ECC and AdaBoost.OC. We show that AdaBoost.ECC performs stage-wise functional gradient descent on a cost function, defin...
Yijun Sun, Sinisa Todorovic, Jian Li, Dapeng Wu
138
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AAAI
2008
15 years 5 months ago
Instance-level Semisupervised Multiple Instance Learning
Multiple instance learning (MIL) is a branch of machine learning that attempts to learn information from bags of instances. Many real-world applications such as localized content-...
Yangqing Jia, Changshui Zhang
ICDCS
2008
IEEE
15 years 9 months ago
Crystal: An Emulation Framework for Practical Peer-to-Peer Multimedia Streaming Systems
To rapidly evolve new designs of peer-to-peer (P2P) multimedia streaming systems, it is highly desirable to test and troubleshoot them in a controlled and repeatable experimental ...
Mea Wang, Hassan Shojania, Baochun Li
ICML
2005
IEEE
16 years 3 months ago
Preference learning with Gaussian processes
In this paper, we propose a probabilistic kernel approach to preference learning based on Gaussian processes. A new likelihood function is proposed to capture the preference relat...
Wei Chu, Zoubin Ghahramani
ALT
2001
Springer
15 years 11 months ago
Learning by Switching Type of Information
The present work is dedicated to the study of modes of data-presentation in the range between text and informant within the framework of inductive inference. In this study, the le...
Sanjay Jain, Frank Stephan