Results 41 to 50 of about 6,303,129 (314)
Bagging ensemble selection [PDF]
, 2011 Ensemble selection has recently appeared as a popular ensemble learning method, not only because its implementation is fairly straightforward, but also due to its excellent predictive performance on practical problems.
Pfahringer, Bernhard, Sun, Quan
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Software Defect Prediction Using Ensemble Learning: A Systematic Literature Review
IEEE Access, 2021 Recent advances in the domain of software defect prediction (SDP) include the integration of multiple classification techniques to create an ensemble or hybrid approach.
F. Matloob +7 more
semanticscholar +1 more source
PEMBELAJARAN ANSAMBEL GESEK EKSTRAKURIKULER DI SMK METHODIST CHARLES WESLEY MEDAN
Grenek: Jurnal Seni Musik, 2018 This study is about the String Ensemble Learning in Extracurricular at SMK Methodist Charles Wesley Medan. The purpose of learning is to know the learning process of string ensemble extracurricular, knowing in teaching methods and materials string ...
Kevin Justinus Elwadi Simanjuntak
doaj +1 more source
Applied Sciences, 2021 As vital comments on landslide early warning systems, accurate and reliable displacement prediction is essential and of significant importance for landslide mitigation.
Xiaoxu Niu +5 more
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Random Prism: An Alternative to Random Forests. [PDF]
, 2011 Ensemble learning techniques generate multiple classifiers, so called base classifiers, whose combined classification results are used in order to increase the overall classification accuracy.
Bramer, Max, Stahl, Frederic
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Ensemble learning from ensemble docking: revisiting the optimum ensemble size problem [PDF]
Scientific Reports, 2022 AbstractDespite considerable advances obtained by applying machine learning approaches in protein–ligand affinity predictions, the incorporation of receptor flexibility has remained an important bottleneck. While ensemble docking has been used widely as a solution to this problem, the optimum choice of receptor conformations is still an open question ...
Sara Mohammadi +4 more
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Deep-Ensemble-Learning-Based GPS Spoofing Detection for Cellular-Connected UAVs
IEEE Internet of Things Journal, 2022 Unmanned aerial vehicles (UAVs) are an emerging technology in the 5G-and-beyond systems with the promise of assisting cellular communications and supporting IoT deployment in remote and density areas.
Yongchao Dang +4 more
semanticscholar +1 more source
Statistical Mechanics of Time Domain Ensemble Learning
, 2006 Conventional ensemble learning combines students in the space domain. On the other hand, in this paper we combine students in the time domain and call it time domain ensemble learning.
Freund Y. +12 more
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, 2000 This chapter contains sections titled: Introduction, Boosting and the Linear Programming Solution, υ-Algorithms, Experiments, Conclusion, Acknowledgments.
Raetsch, Gunnar +5 more
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Deep ensemble learning for automatic medicinal leaf identification
International journal of information technology, 2022 The therapeutic nature of medicinal plants and their ability to heal many diseases raises the need for their automatic identification. Different parts of plants that help in their identification include root, fruit, bark, stem but leaf images have been ...
S. Sachar, Anuj Kumar
semanticscholar +1 more source