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» An Instance Selection Approach to Multiple Instance Learning
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FGCS
2007
99views more  FGCS 2007»
14 years 9 months ago
Mining performance data for metascheduling decision support in the Grid
: Metaschedulers in the Grid needs dynamic information to support their scheduling decisions. Job response time on computing resources, for instance, is such a performance metric. ...
Hui Li, David L. Groep, Lex Wolters
SRDS
2010
IEEE
14 years 7 months ago
Invariants Based Failure Diagnosis in Distributed Computing Systems
This paper presents an instance based approach to diagnosing failures in computing systems. Owing to the fact that a large portion of occurred failures are repeated ones, our meth...
Haifeng Chen, Guofei Jiang, Kenji Yoshihira, Akhil...
PPSN
2010
Springer
14 years 7 months ago
Feature Selection for Multi-purpose Predictive Models: A Many-Objective Task
The target of machine learning is a predictive model that performs well on unseen data. Often, such a model has multiple intended uses, related to different points in the tradeoff ...
Alan P. Reynolds, David W. Corne, Michael J. Chant...
SOSP
2003
ACM
15 years 6 months ago
Model-carrying code: a practical approach for safe execution of untrusted applications
This paper presents a new approach called model-carrying code (MCC) for safe execution of untrusted code. At the heart of MCC is the idea that untrusted code comes equipped with a...
R. Sekar, V. N. Venkatakrishnan, Samik Basu, Sande...
ICASSP
2010
IEEE
14 years 10 months ago
Speech modeling based on committee-based active learning
We propose a committee-based active learning method for large vocabulary continuous speech recognition. In this approach, multiple recognizers are prepared beforehand, and the rec...
Yuzu Hamanaka, Koichi Shinoda, Sadaoki Furui, Tada...