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» The importance of learning in fuzzy systems
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CL
2000
Springer
15 years 10 months ago
Logic, Knowledge Representation, and Bayesian Decision Theory
In this paper I give a brief overview of recent work on uncertainty inAI, and relate it to logical representations. Bayesian decision theory and logic are both normative frameworks...
David Poole
PAKDD
2004
ACM
127views Data Mining» more  PAKDD 2004»
15 years 11 months ago
Exploiting Recurring Usage Patterns to Enhance Filesystem and Memory Subsystem Performance
In many cases, normal uses of a system form patterns that will repeat. The most common patterns can be collected into a prediction model which will essentially predict that usage p...
Benjamin Rutt, Srinivasan Parthasarathy
TSE
2010
152views more  TSE 2010»
15 years 4 months ago
An Experience in Testing the Security of Real-World Electronic Voting Systems
—Voting is the process through which a democratic society determines its government. Therefore, voting systems are as important as other well-known critical systems, such as air ...
Davide Balzarotti, Greg Banks, Marco Cova, Viktori...
CVPR
2005
IEEE
16 years 8 months ago
ALIP: The Automatic Linguistic Indexing of Pictures System
In this demonstration, we present the Automatic Linguistic Indexing of Pictures (ALIP) system. The system annotates images with linguistic terms, chosen among hundreds of such ter...
Jia Li, James Ze Wang
GECCO
2005
Springer
160views Optimization» more  GECCO 2005»
15 years 11 months ago
Exploring relationships between genotype and oral cancer development through XCS
In medical research, being able to justify decisions is generally as important as taking the right ones. Interpretability is then one of the chief characteristics a learning algor...
Alessandro Passaro, Flavio Baronti, Valentina Magg...