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» Selectivity Estimation using Probabilistic Models
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BROADNETS
2005
IEEE
15 years 5 months ago
Network selection using fuzzy logic
—The peer-to-peer technology offers many advantages, but at the same time, it poses many novel challenges for the research community. Modern peer-to-peer systems are characterize...
Shubha Kher, Arun K. Somani, Rohit Gupta
PKDD
2009
Springer
184views Data Mining» more  PKDD 2009»
15 years 6 months ago
Learning Preferences with Hidden Common Cause Relations
Abstract. Gaussian processes have successfully been used to learn preferences among entities as they provide nonparametric Bayesian approaches for model selection and probabilistic...
Kristian Kersting, Zhao Xu
ECIR
2009
Springer
15 years 9 months ago
Risk-Aware Information Retrieval
Probabilistic retrieval models usually rank documents based on a scalar quantity. However, such models lack any estimate for the uncertainty associated with a document’s rank. Fu...
Jianhan Zhu, Jun Wang, Michael J. Taylor, Ingemar ...
PR
2007
104views more  PR 2007»
14 years 11 months ago
Optimizing resources in model selection for support vector machine
Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
Mathias M. Adankon, Mohamed Cheriet
OOPSLA
2005
Springer
15 years 5 months ago
Estimating software based on use case points
It is well documented that software product cost estimates are notoriously inaccurate across the software industry. Creating accurate cost estimates for software product developme...
Edward R. Carroll