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» How to process uncertainty in machine learning
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ICDE
2010
IEEE
263views Database» more  ICDE 2010»
14 years 8 months ago
Managing Uncertainty of XML Schema Matching
Abstract-- Despite of advances in machine learning technologies, a schema matching result between two database schemas (e.g., those derived from COMA++) is likely to be imprecise. ...
Reynold Cheng, Jian Gong, David W. Cheung
ICML
2004
IEEE
14 years 9 months ago
Parameter space exploration with Gaussian process trees
Computer experiments often require dense sweeps over input parameters to obtain a qualitative understanding of their response. Such sweeps can be prohibitively expensive, and are ...
Robert B. Gramacy, Herbert K. H. Lee, William G. M...
CAINE
2007
13 years 10 months ago
A Novel Peak Detection Algorithm for Use in the Study of Machining Chip Segmentation
The study of how metal deforms and flows as parts are machined yields important insights into the metal cutting process. Improvements in high-speed digital imaging and image proce...
Eric Whitenton, Robert Ivester, Jarred Heigel
ICML
2001
IEEE
14 years 9 months ago
Symmetry in Markov Decision Processes and its Implications for Single Agent and Multiagent Learning
This paper examines the notion of symmetry in Markov decision processes (MDPs). We define symmetry for an MDP and show how it can be exploited for more effective learning in singl...
Martin Zinkevich, Tucker R. Balch
IJCNLP
2005
Springer
14 years 2 months ago
Assigning Polarity Scores to Reviews Using Machine Learning Techniques
We propose a novel type of document classification task that quantifies how much a given document (review) appreciates the target object using not binary polarity (good or bad) b...
Daisuke Okanohara, Jun-ichi Tsujii