Titlebook: Case-Based Reasoning Research and Development; 26th International C Michael T. Cox,Peter Funk,Shahina Begum Conference proceedings 2018 Spr

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書目名稱Case-Based Reasoning Research and Development影響因子(影響力)




書目名稱Case-Based Reasoning Research and Development影響因子(影響力)學(xué)科排名




書目名稱Case-Based Reasoning Research and Development網(wǎng)絡(luò)公開度




書目名稱Case-Based Reasoning Research and Development網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Case-Based Reasoning Research and Development被引頻次




書目名稱Case-Based Reasoning Research and Development被引頻次學(xué)科排名




書目名稱Case-Based Reasoning Research and Development年度引用




書目名稱Case-Based Reasoning Research and Development年度引用學(xué)科排名




書目名稱Case-Based Reasoning Research and Development讀者反饋




書目名稱Case-Based Reasoning Research and Development讀者反饋學(xué)科排名

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AI-VT: An Example of CBR that Generates a Variety of Solutions to the Same Problems, even if the generation of training sessions is based on analogy and must integrate the repetition of some exercises, it also must introduce some diversity and AI-VT must deal with this diversity. In this paper, we have highlighted the fact that the retaining (or capitalisation) phase of CBR is of

transient-pain

Harnessing Hundreds of Millions of Cases: Case-Based Prediction at Industrial Scaleion. Handling this application required addressing how to keep LSH practical for skewed data; the resulting efficiency gains in turn enabled applying an adaptation generation strategy that previously was computationally infeasible. Experimental results show that our CBR approach achieves accuracy co

excrete

不要嚴(yán)酷

Dynamic Detection of Radical Profiles in Social Networks Using Image Feature Descriptors and a Case-ion with confirmed radical profiles. These techniques are combined in the context of a Case-Based Reasoning framework which, together with the feedback provided by the end-user, enables a continuous monitoring of the activity of radical users and eases the discovery of new profiles with a radicaliza

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Individual

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啟發(fā)

I. Shibuya,K. Uchida,M. Mochizukis, even if the generation of training sessions is based on analogy and must integrate the repetition of some exercises, it also must introduce some diversity and AI-VT must deal with this diversity. In this paper, we have highlighted the fact that the retaining (or capitalisation) phase of CBR is of