منابع مشابه
Search for the smallest random forest.
Random forests have emerged as one of the most commonly used nonparametric statistical methods in many scientific areas, particularly in analysis of high throughput genomic data. A general practice in using random forests is to generate a sufficiently large number of trees, although it is subjective as to how large is sufficient. Furthermore, random forests are viewed as "black-box" because of ...
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this thesis is based upon the works of samuel beckett. one of the greatest writers of contemporary literature. here, i have tried to focus on one of the main themes in becketts works: the search for the real "me" or the real self, which is not only a problem to be solved for beckett man but also for each of us. i have tried to show becketts techniques in approaching this unattainable goal, base...
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of minor mutations; small changes in the inputs used to trigger patterning mimic the natural variation in development seen from embryo to embryo. On both of these counts, the network is satisfactorily robust. Most small changes in parameter values have little effect — only at rare thresholds does the behaviour of the model switch from one stable state to another. Initial conditions can also be ...
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Random Forest algorithm have been successfully used in many computer vision tasks such as image classification [1] and image segmentation [4]. Recently, Yao et al. showed that a random forest composed of the decision trees where every node is a discriminative classifier outperforms state-of-the-art results in the finegrained image categorization problems [8]. Yao et al. attributed their success...
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Meta-heuristics have already received considerable attention in various fields of engineering optimization problems. Each of them employes some key features best suited for a specific class of problems due to its type of search space and constraints. The present work develops a Pseudo-random Directional Search, PDS, for adaptive combination of such heuristic operators. It utilizes a short term...
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ژورنال
عنوان ژورنال: Statistics and Its Interface
سال: 2009
ISSN: 1938-7989,1938-7997
DOI: 10.4310/sii.2009.v2.n3.a11