Titlebook: Intelligent Decision Technologies 2017; Proceedings of the 9 Ireneusz Czarnowski,Robert J. Howlett,Lakhmi C. Ja Conference proceedings 2018

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書目名稱Intelligent Decision Technologies 2017影響因子(影響力)




書目名稱Intelligent Decision Technologies 2017影響因子(影響力)學(xué)科排名




書目名稱Intelligent Decision Technologies 2017網(wǎng)絡(luò)公開度




書目名稱Intelligent Decision Technologies 2017網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Intelligent Decision Technologies 2017被引頻次




書目名稱Intelligent Decision Technologies 2017被引頻次學(xué)科排名




書目名稱Intelligent Decision Technologies 2017年度引用




書目名稱Intelligent Decision Technologies 2017年度引用學(xué)科排名




書目名稱Intelligent Decision Technologies 2017讀者反饋




書目名稱Intelligent Decision Technologies 2017讀者反饋學(xué)科排名

vasospasm

輕彈

Stacking-Based Integrated Machine Learning with Data Reductionssure diversification among prototypes. To validate the proposed approach we have carried-out computational experiment. The paper includes the description of the approach and the discussion of the validating experiment results.

Cpr951

Chaotic Nature of Eye Movement Signals, just after a stimulus position change. Subsequently, the signal characteristic tended to be the convergent one, however, in some cases, depending on a part of the fixation duration the chaotic behaviour was still observable.

隱語

Electrohydrodynamic Effect Simulation and Method of Its Optimizationon of this effect allows finding for particular input parameters of the generator an optimal diameter of the wire, which burned in a thermo-physical process gives a maximal energy release in the form of an acoustic pressure wave.

枯萎將要

Evaluating Importance for Numbers of Bins in Discretised Learning and Test Setssted. Secondly, for features with single bins, unsupervised discretisation was executed and the resulting performance studied. The experiments show usefulness of characterisation of variables by numbers of bins, and cases of improvement of solutions by combining supervised with unsupervised discretisation.

SUGAR

Decremental Subset Construction actions necessary to transform . into . are applied. Although evidence from worst-case complexity analysis indicates that . is not better than ., in practice, when . is large and . relatively small, . may outperform . significantly.

CALL

Using Alloy for Verifying the Integration of OLAP Preferences in a Hybrid What-If Scenario Applicatipreferences. In this paper, we propose a formal description and verification of one of the phases of the hybridization model we developed related to the extraction of OLAP usage preferences. We used Alloy to specify and verify the viability of the process, and discover possible ambiguity and inconsistencies cases.

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