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» On the Complexity of Model Expansion
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TIM
2010
144views Education» more  TIM 2010»
13 years 4 months ago
Extending Polynomial Chaos to Include Interval Analysis
Polynomial chaos theory (PCT) has been proven to be an efficient and effective way to represent and propagate uncertainty through system models and algorithms in general. In partic...
Antonello Monti, Ferdinanda Ponci, Marco Valtorta
WSC
2004
13 years 11 months ago
Modeling and Simulation of Complex Systems with Cell-DEVS
Cell-DEVS enables efficient execution of complex cellular models. The goal of Cell-DEVS is to build discrete-event cell spaces, improving their definition by making the timing spe...
Gabriel A. Wainer
TREC
2004
13 years 11 months ago
The Hong Kong Polytechnic University at the TREC 2004 Robust Track
In the robust track, we mainly tested our passage-based retrieval model with different passage sizes and weighting schemes. In our approach, we used two retrieval models, namely t...
D. Y. Wang, Robert Wing Pong Luk, Kam-Fai Wong
3DPVT
2006
IEEE
156views Visualization» more  3DPVT 2006»
14 years 4 months ago
Large-Scale Modeling of Parametric Surfaces Using Spherical Harmonics
We present an approach for large-scale modeling of parametric surfaces using spherical harmonics (SHs). A standard least square fitting (LSF) method for SH expansion is not scala...
Li Shen, Moo K. Chung
PKDD
1999
Springer
101views Data Mining» more  PKDD 1999»
14 years 2 months ago
Rule Induction in Cascade Model Based on Sum of Squares Decomposition
A cascade model is a rule induction methodology using levelwise expansion of an itemset lattice, where the explanatory power of a rule set and its constituent rules are quantitativ...
Takashi Okada