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Advanced Search Results For "RANDOM forest algorithms"

1 - 10 of 19,459 results for
 "RANDOM forest algorithms"
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One-Class Classification by Ensembles of Random Planes (OCCERPs).

Publication Type:Academic Journal

Source(s):Computational Intelligence & Neuroscience. 7/4/2022, p1-7. 7p.

Abstract:One-class classification (OCC) deals with the classification problem in which the training data have data points belonging only to the target class. In this paper, we present a one-class classification algorithm, One-Class Classification by Ensembles o...

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Data-Driven versus Köppen–Geiger Systems of Climate Classification.

Publication Type:Academic Journal

Source(s):Advances in Meteorology. 8/31/2022, p1-14. 14p.

Abstract:Climate zone classification promotes our understanding of the climate and provides a framework for analyzing a range of environmental and socioeconomic data and phenomena. The Köppen–Geiger classification system is the most widely used climate classifi...

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Prediction of Concrete Compressive Strength Based on the BP Neural Network Optimized by Random Forest and ISSA.

Publication Type:Academic Journal

Source(s):Journal of Function Spaces. 8/27/2022, p1-20. 20p.

Abstract:In modern engineering construction, the compressive strength of concrete determines the safety of engineering structure. BP neural network (BPNN) tends to converge to different local minimum points, and the prediction accuracy is not high in the predic...

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A Performance Comparison of Classification Algorithms for Rose Plants.

Publication Type:Academic Journal

Source(s):Computational Intelligence & Neuroscience. 8/16/2022, p1-16. 16p.

Abstract:One of the key roles of Botanists is to be able to recognize flowers. This role has become highly challenging given that the number of discovered flower types are nearing half a million. To support Botanists, Information Technology offers promising sol...

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Optimization of Entrepreneurship Education for College Students Based on Improved Random Forest Algorithm.

Publication Type:Academic Journal

Source(s):Mobile Information Systems. 7/31/2022, p1-11. 11p.

Abstract:As we all know, the random forest algorithm has the advantages of high classification intensity and wide application range. Nevertheless, it still has a lot of room for improvement. This paper introduces the basic idea and working principle of classifi...

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Visual Aggregation of Spatial Recognition Scientific Computations in the Financial Service Sector Based on the Random Forest Graph Model.

Publication Type:Academic Journal

Source(s):Discrete Dynamics in Nature & Society. 7/19/2022, p1-10. 10p.

Abstract:In view of the current problems in the visual aggregation of the financial service industry, the random forest graph model is applied to the spatial recognition of the financial service industry's scientific calculation visual aggregation in this paper...

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Improving Random Forest Algorithm for University Academic Affairs Management System Platform Construction.

Publication Type:Academic Journal

Source(s):Advances in Multimedia. 7/15/2022, p1-9. 9p.

Abstract:Using the data of students' learning process recorded in the network teaching platform to predict students' learning performance, assist teachers to analyze learning situation, formulate teaching strategies, and warn about students' learning state is a...

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Drug Response Prediction Based on 1D Convolutional Neural Network and Attention Mechanism.

Publication Type:Academic Journal

Source(s):Computational & Mathematical Methods in Medicine. 9/17/2022, p1-6. 6p.

Abstract:There are multiple methods based on gene expression, copy number variation, and methylation biomarkers for screening drug response have been developed. On the other hand, many machine learning algorithms have been applied in recent years to predict dru...

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An Effective Approach to Promote Air Traveler Repurchasing Using the Random Forest Algorithm: Predictive Model Design and Utility Evaluation.

Publication Type:Academic Journal

Source(s):Journal of Advanced Transportation. 9/9/2022, p1-13. 13p.

Abstract:How to promote air traveler repurchasing has become an important marketing strategy in airlines. However, because of the growing concern over user privacy, effectively and accurately delivering advertising to promote repurchasing has become more diffic...

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Water Quality Index Using Modified Random Forest Technique: Assessing Novel Input Features.

Publication Type:Academic Journal

Source(s):CMES-Computer Modeling in Engineering & Sciences. 2022, Vol. 132 Issue 3, p1011-1038. 28p.

Abstract:Water quality analysis is essential to understand the ecological status of aquatic life. Conventional water quality index (WQI) assessment methods are limited to features such as water acidic or basicity (pH), dissolved oxygen (DO), biological oxygen d...

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