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Simulationsinstrumente für KNN

1998
KNN lassen sich auf Hardware- oder Software-Basis simulieren. Fur die Hardwaresimulation konnen eine Reihe von Computerarchitekturen verwendet werden. Zu diesen Computerklassen gehoren beispielsweise SIMD- und MIMD-Parallelrechner, die aus mehreren einfachen Prozessoren bestehen und parallel die gleichen Daten verarbeiten.
openaire   +1 more source

Genetically Evolved kNN Ensembles

2009
Both theory and a wealth of empirical studies have established that ensembles are more accurate than single predictive models. For the ensemble approach to work, base classifiers must not only be accurate but also diverse, i.e., they should commit their errors on different instances.
Ulf Johansson   +2 more
openaire   +1 more source

RSSI-KNN: A RSSI Indoor Localization Approach with KNN

2023 IEEE 2nd International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA), 2023
Xiaoshan Zheng   +2 more
openaire   +1 more source

Revolutionizing Recruitment: A Comparative Study Of KNN, Weighted KNN, and SVM - KNN for Resume Screening

2023 8th International Conference on Communication and Electronics Systems (ICCES), 2023
Rishabh Bathija   +4 more
openaire   +1 more source

Random KNN

2014 IEEE International Conference on Data Mining Workshop, 2014
Shengqiao Li   +2 more
openaire   +1 more source

kNN

2009
Michael Steinbach, Pang-Ning Tan
openaire   +1 more source

Query Processing – kNN

2018
Jianzhong Qi, Rui Zhang
openaire   +1 more source

Plagiarism detection using KNN

AIP Conference Proceedings, 2023
D. Phani Kumar   +4 more
openaire   +1 more source

Answering range-based reverse kNN and why-not reverse kNN queries

Frontiers of Computer Science, 2019
Zhefan Zhong, Xin Lin, Liang He
openaire   +1 more source

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