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ICMLA
2008
15 years 8 months ago
Predicting Algorithm Accuracy with a Small Set of Effective Meta-Features
We revisit 26 meta-features typically used in the context of meta-learning for model selection. Using visual analysis and computational complexity considerations, we find 4 meta-f...
Jun Won Lee, Christophe G. Giraud-Carrier
ESANN
2001
15 years 8 months ago
A divide-and-conquer learning architecture for predicting unknown motion
Time varying environments or model selection problems lead to crucial dilemmas in identification and control science. In this paper, we propose a modular prediction scheme consisti...
Patrice Wira, Jean-Philippe Urban, Julien Gresser
WSCG
2001
98views more  WSCG 2001»
15 years 8 months ago
Geometric Simplification for Efficient Occlusion Culling in Urban Scenes
Most occlusion culling algorithms select a subset of suitable occluder planes or geometries to exclude invisible objects from further visualization processing. Preferably these oc...
Rick Germs, Frederik W. Jansen
WSCG
2004
163views more  WSCG 2004»
15 years 8 months ago
Simulating Desert Scenery
An algorithm for simulating wind-ripples and moving sand is extended by the detection of fixed objects. This permits us simulation and animation of sand interacting with objects l...
Bedrich Benes, Toney Roa
WSCG
2003
148views more  WSCG 2003»
15 years 8 months ago
The Second Order Particle System
In this paper we present an extension to the classical particle system. We unify particles, particle sources, and force generators into a second order particle system. In the seco...
Tommi Ilmonen, Janne Kontkanen