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» A Formal Measure of Machine Intelligence
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KCAP
2009
ACM
14 years 1 months ago
Formally measuring agreement and disagreement in ontologies
Ontologies are conceptual models of particular domains, and domains can be modeled differently, representing different opinions, beliefs or perspectives. In other terms, ontolog...
Mathieu d'Aquin
FORTE
2008
13 years 8 months ago
Detecting Communication Protocol Security Flaws by Formal Fuzz Testing and Machine Learning
Network-based fuzz testing has become an effective mechanism to ensure the security and reliability of communication protocol systems. However, fuzz testing is still conducted in a...
Guoqiang Shu, Yating Hsu, David Lee
IJCAI
2007
13 years 8 months ago
Constructing New and Better Evaluation Measures for Machine Learning
Evaluation measures play an important role in machine learning because they are used not only to compare different learning algorithms, but also often as goals to optimize in cons...
Jin Huang, Charles X. Ling
CAI
1999
Springer
13 years 7 months ago
Context in Artificial Intelligence: I. A Survey of the Literature
: Context is the challenge for the coming years in Artificial Intelligence. In the companion paper [8], we present the main results of discussions at two workshops and at the first...
Patrick Brézillon
FLAIRS
2008
13 years 8 months ago
A Hybrid Machine Translation System for Typologically Related Languages
This paper describes a shallow parsing formalism aiming at machine translation between closely related languages. The formalism allows to write grammar rules helping to (partially...
Petr Homola, Vladislav Kubon