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» A Graph Based Process Representation for Process Modeling
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GECCO
2008
Springer
121views Optimization» more  GECCO 2008»
15 years 7 months ago
Fast rule representation for continuous attributes in genetics-based machine learning
Genetic-Based Machine Learning Systems (GBML) are comparable in accuracy with other learning methods. However, efficiency is a significant drawback. This paper presents a new rep...
Jaume Bacardit, Natalio Krasnogor
ICASSP
2010
IEEE
15 years 7 months ago
Optimized intrinsic dimension estimator using nearest neighbor graphs
We develop an approach to intrinsic dimension estimation based on k-nearest neighbor (kNN) distances. The dimension estimator is derived using a general theory on functionals of k...
Kumar Sricharan, Raviv Raich, Alfred O. Hero III
ENTCS
2006
168views more  ENTCS 2006»
15 years 6 months ago
Case Study: Model Transformations for Time-triggered Languages
In this study, we introduce a model transformation tool for a time-triggered language: Giotto. The tool uses graphs to represent the source code (Giotto) and the target (the sched...
Tivadar Szemethy
JAIR
2010
139views more  JAIR 2010»
15 years 5 months ago
Multiattribute Auctions Based on Generalized Additive Independence
We develop multiattribute auctions that accommodate generalized additive independent (GAI) preferences. We propose an iterative auction mechanism that maintains prices on potentia...
Yagil Engel, Michael P. Wellman
WSCG
2004
282views more  WSCG 2004»
15 years 8 months ago
High-Quality Silhouette Illustration for Texture-Based Volume Rendering
We present an accurate, interactive silhouette extraction mechanism for texture-based volume rendering. Compared to previous approaches, our system guarantees silhouettes of a use...
Zoltán Nagy, Reinhard Klein