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NIPS
2000
14 years 11 months ago
Discovering Hidden Variables: A Structure-Based Approach
A serious problem in learning probabilistic models is the presence of hidden variables. These variables are not observed, yet interact with several of the observed variables. As s...
Gal Elidan, Noam Lotner, Nir Friedman, Daphne Koll...
CONEXT
2009
ACM
14 years 10 months ago
ThunderDome: discovering upload constraints using decentralized bandwidth tournaments
ThunderDome is a system for collaboratively measuring upload bandwidths in ad-hoc peer-to-peer systems. It works by scheduling bandwidth probes between pairs of hosts, wherein eac...
John R. Douceur, James W. Mickens, Thomas Moscibro...
JODS
2006
148views Data Mining» more  JODS 2006»
14 years 9 months ago
Discovering the Semantics of Relational Tables Through Mappings
Abstract. Many problems in Information and Data Management require a semantic account of a database schema. At its best, such an account consists of formulas expressing the relatio...
Yuan An, Alexander Borgida, John Mylopoulos
ICAPR
2005
Springer
15 years 3 months ago
Discovering Predictive Variables When Evolving Cognitive Models
A non-dominated sorting genetic algorithm is used to evolve models of learning from different theories for multiple tasks. Correlation analysis is performed to identify parameters...
Peter C. R. Lane, Fernand Gobet
RSCTC
1993
Springer
161views Fuzzy Logic» more  RSCTC 1993»
15 years 1 months ago
Quantifying Uncertainty of Knowledge Discovered From Databases
This paper focuses on the application of rough set constructs to inductive learning from a database. A design guideline is suggested, which provides users the option to choose app...
Yang Xiang, S. K. Michael Wong, Nick Cercone