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» Managing Complexity in Large Learning Robotic Systems
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SAC
2006
ACM
14 years 1 months ago
The impact of sample reduction on PCA-based feature extraction for supervised learning
“The curse of dimensionality” is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and classification error in high dimension...
Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal
AIED
2005
Springer
14 years 1 months ago
Generating Structured Explanations of System Behaviour Using Qualitative Simulations
This paper presents an approach to generate structured explanations of system behaviour based on qualitative simulations. This has been implemented in WiziGarp, a domain-independen...
Anders Bouwer, Bert Bredeweg
CAISE
2008
Springer
13 years 9 months ago
Refactoring Process Models in Large Process Repositories
With the increasing adoption of process-aware information systems (PAIS), large process model repositories have emerged. Over time respective models have to be re-aligned to the re...
Barbara Weber, Manfred Reichert
ETS
2002
IEEE
116views Hardware» more  ETS 2002»
13 years 7 months ago
Human Activity Systems: A Theoretical Framework for Designing Learning for Multicultural Settings
In the analysis of any learning environment, whether small or large, one observes within it a "set of human activities related to each other so they can be viewed as a whole&...
Jill Slay
GRID
2006
Springer
13 years 7 months ago
Personal Workspace for Large-Scale Data-Driven Computational Experiment
1 -- As the scale and complexity of data-driven computational science grows, so grows the burden on the scientists and students in managing the data products used and generated dur...
Yiming Sun, Scott Jensen, Sangmi Lee Pallickara, B...