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» Generic Methods for Optimization-Based Modeling
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SDM
2009
SIAM
223views Data Mining» more  SDM 2009»
14 years 5 months ago
Context Aware Trace Clustering: Towards Improving Process Mining Results.
Process Mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms...
R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aa...
CEC
2007
IEEE
14 years 3 months ago
Bayesian inference in estimation of distribution algorithms
— Metaheuristics such as Estimation of Distribution Algorithms and the Cross-Entropy method use probabilistic modelling and inference to generate candidate solutions in optimizat...
Marcus Gallagher, Ian Wood, Jonathan M. Keith, Geo...
CVPR
2010
IEEE
13 years 6 months ago
Multi-structure model selection via kernel optimisation
Our goal is to fit the multiple instances (or structures) of a generic model existing in data. Here we propose a novel model selection scheme to estimate the number of genuine str...
Tat-Jun Chin, David Suter, Hanzi Wang
CVPR
2009
IEEE
15 years 3 months ago
Holistic Context Modeling using Semantic Co-occurrences
We present a simple framework to model contextual relationships between visual concepts. The new framework combines ideas from previous object-centric methods (which model conte...
Nikhil Rasiwasia (University Of California, San Di...
DESRIST
2010
Springer
154views Education» more  DESRIST 2010»
14 years 1 months ago
The Design of Focus Area Maturity Models
Maturity models are a well-known instrument to support the improvement of functional domains in IS, like software development or testing. While maturity models may share a common s...
Marlies van Steenbergen, Rik Bos, Sjaak Brinkkempe...