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» Generating UML Models from Domain Patterns
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ECAI
2004
Springer
15 years 8 months ago
Learning Complex and Sparse Events in Long Sequences
The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...
Marco Botta, Ugo Galassi, Attilio Giordana
AAAI
2000
15 years 4 months ago
Unsupervised Learning and Interactive Jazz/Blues Improvisation
We present a new domain for unsupervised learning: automatically customizing the computer to a specific melodic performer by merely listening to them improvise. We also describe B...
Belinda Thom
ICALT
2005
IEEE
15 years 9 months ago
Empirical Validation of Concept Maps: Preliminary Methodological Considerations
For their usage in the semantic web, valid ontologies are required for a given domain. Here we focus on ontologies represented as concept maps (semantic nets). For one and the sam...
Dietrich Albert, Christina M. Steiner
FLAIRS
2006
15 years 4 months ago
Explicating Semantic Relations in Non-Monotonic Theories to Facilitate Validation Analysis
The inherent vagueness and ambiguity of non-monotonic reasoning makes it impossible to formulate detailed specifications to validate KBS performance by using traditional test-case...
Neli Zlatareva
ECRTS
2006
IEEE
15 years 9 months ago
Real-Time Memory Management: Life and Times
As real-time and embedded systems become increasingly large and complex, the traditional strictly static approach to memory management begins to prove untenable. The challenge is ...
Andrew Borg, Andy J. Wellings, Christopher D. Gill...