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At some point, this fantasy took over Breivik's reality, not because he experienced a psychotic break but because he discovered models of reality that were as uncomplicated and manageable as those of the game, and so, incited by the power of his fantasies, especially by what they enabled him to become — a knight, a commander, a hero — he decided to bring them to life.
Previous approaches to this reverse-engineering problem strike different tradeoffs between the accuracy of the discovered models and their structural complexity.
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Weber's style, not surprisingly for a fashion photographer, is essentially fetishistic; this becomes clear in an extended sequence of the high-schoolers' wrestling camp where he discovered model-to-be Peter Johnson.
While there, she discovered model Annabel Hodin, a former North London classmate.
The complexity of the problem is increased as the discovered model at the true motif width need not be the most statistically significant in a set of candidate motif models.
Further, the results of experiments which removed the motif discovery phase of the algorithm show that, as the performance of this phase improves, the performance of MCOIN as a predictor of motif width also improves: as the discovered model becomes stronger and better models the true motif, the error in the width estimated by MCOIN will decrease.
Then we show how to use ad-centric features to discover models that can find factors affecting CTR prediction performance.
During the past four decades, many investigators have attempted to discover models to describe the performance of cyclone aerosol selectors.
In addition, a prototype of KDD Automatic System has been developed which can be used to discover models in observed data automatically.
Thus, we propose a novel approach for identifying knowledge-driven genomic interactions and applying it to discover models associated with cancer clinical phenotypes using grammatical evolution neural networks (GENN).
Goodness-of-fit measures, including the coefficient of determination R, as well as statistical tools for regression diagnostics, such as residual analysis, detection of influential cases, and checking for multi-collinearity, were applied to discover model or data problems.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com