1376 search results - page 135 / 276 » Generating UML Models from Domain Patterns |
141
Voted
SAB
2010
Springer
15 years 1 months ago
2010
Springer
Biological brains can adapt and learn from past experience. In neuroevolution, i.e. evolving artificial neural networks (ANNs), one way that agents controlled by ANNs can evolve t...
142
Voted
ECMDAFA
2010
Springer
15 years 6 months ago
2010
Springer
Dynamic UML models like sequence diagrams (SD) lack sufficient formal semantics, making it difficult to build automated tools for their analysis, simulation and validation. A commo...
116
Voted
NIPS
2004
15 years 4 months ago
2004
We propose a probabilistic, generative account of configural learning phenomena in classical conditioning. Configural learning experiments probe how animals discriminate and gener...
IROS
2006
IEEE
15 years 9 months ago
2006
IEEE
Abstract— This paper deals with the generation of motion pattern for humanoid robots vertical jump. The study concentrates on the landing phase of the jump which is the most dema...
151
Voted
BMCBI
2007
15 years 3 months ago
2007
Background: Detection of short, subtle conserved motif regions within a set of related DNA or amino acid sequences can lead to discoveries about important regulatory domains such ...