The Strength of Weak Learnability

Cited by (1,455)

Items 1,401–1,455 of 1,455

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2. New cancer diagnosis modeling using boosting and projective adaptive resonance theory with improved reliable index
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6. Classification methods for the development of genomic signatures from high-dimensional data
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7. Model combination in the multiple-data-batches scenario
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8. Improved nonparametric survival prediction using CoxPH, Random Survival Forest & DeepHit Neural Network
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9. Landslide Susceptibility Mapping Based on Ensemble Learning in the Jiuzhaigou Region, Sichuan, China
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10. Improving Sentiment Classification Using Feature Highlighting and Feature Bagging
    Lin Dai, Hechun Chen, Xuemei Li · 2011 · IEEE ... International Conference on Data Mining workshops
11. Explanation and Probabilistic Prediction of Hydrological Signatures with Statistical Boosting Algorithms
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12. Dear-Net: Learning Diversities for Skeleton-Based Early Action Recognition
    Rui Wang, Jun Liu, Qiuhong Ke, Duo Peng, Yinjie Lei · 2021 · IEEE Transactions on Multimedia
13. Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora
    A. Abed Abud, B. Abi, R. Acciarri, M. A. Acero, M. R. Adames, G. Adamov, Mark Adamowski, D. L. Adams, M. Adinolfi, C. Adriano et al. · 2023 · The European Physical Journal C
14. Energy-efficient virtual sensor-based deep reinforcement learning control of indoor CO2 in a kindergarten
    Patrick Nzivugira Duhirwe, Jack Ngarambe, Geun Young Yun · 2022 · Frontiers of Architectural Research
15. Predicting Regional Wastewater Treatment Plant Discharges Using Machine Learning and Population Migration Big Data
    Jiang Yu, Yong Tian, Hao Jing, Taotao Sun, Xiaoli Wang, Charles B. Andrews, Chunmiao Zheng · 2023 · ACS ES&T Water
16. Simultaneous prediction the strain and energy absorption capacity of ultra-high performance fiber reinforced concretes by using multi-output regression model
    Ngoc-Hien Nguyen, Joaquín Abellán García, Seunghye Lee, Trung-Kien Nguyen, Thuc Phuong Vo · 2023 · Construction and Building Materials
17. A machine learning approach to predict cerebral perfusion status based on internal carotid artery blood flow
    Linkun Cai, Erwei Zhao, Haijun Niu, Yawen Liu, Tingting Zhang, Dong Liu, Zhe Zhang, Jing Li, Peng‐Gang Qiao, Han Lv et al. · 2023 · Computers in Biology and Medicine
18. A new hybrid credit scoring ensemble model with feature enhancement and soft voting weight optimization
    Dongqi Yang, Binqing Xiao, Mengya Cao, Huaqi Shen · 2023 · Expert Systems with Applications
19. The role of artificial intelligence in crop improvement
    Karlene L. Negus, Xianran Li, Stephen M. Welch, Jianming Yu · 2024 · Advances in agronomy
20. Comparative analysis of ensemble learning techniques for enhanced fatigue life prediction
    Sasan Farhadi, Samuele Tatullo, Francesco Ferrian · 2025 · Scientific Reports
21. A novel multi-human location method for distributed binary pyroelectric infrared sensor tracking system: Region partition using PNN and bearing-crossing location
    Bo Suk Yang, Xiaoshan Li, Jing Luo · 2014 · Infrared Physics & Technology
22. Updating Knowledge in Feedback-Based Multi-classifier Systems
    Donato Impedovo, Giuseppe Pirlo · 2011 · IAPR International Conference on Document Analysis and Recognition (ICDAR)
23. Combining features of negative correlation learning with mixture of experts in proposed ensemble methods
    Saeed Masoudnia, Reza Ebrahimpour, Seyed Ali Asghar Abbaszadeh Arani · 2012 · Applied Soft Computing
24. Exploiting diversity for optimizing margin distribution in ensemble learning
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25. Combining Classifier Based on Decision Tree
    Yu Yao, Zhongliang Fu, Xianghui Zhao, Cheng Wen-fang · 2009 · WASE International Conference on Information Engineering
26. An ensemble learning-based fault diagnosis method for rotating machinery
    Jing Tian, Michael H. Azarian, MICHAEL G. PECHT, Gang Niu, Chuan Li · 2017 · Prognostics and System Health Management Conference
27. Estimating Uncertainty of Point-Cloud Based Single-Tree Segmentation with Ensemble Based Filtering
    Matthew Parkan, Devis Tuia · 2018 · Remote Sensing
28. Ensemble-Based Systems to Monitor Algal Bloom With Remote Sensing
    Anas El Alem, Karem Chokmani, Isabelle Laurion E, Salah‐Eddine El Adlouni, Sébastien Raymond, Claudie Ratté-Fortin · 2019 · IEEE Transactions on Geoscience and Remote Sensing
29. An analysis of boosted ensembles of binary fuzzy decision trees
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30. Noise peeling methods to improve boosting algorithms
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31. Multivariate data modeling using modified kernel partial least squares
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32. Probabilistic Fisher discriminant analysis: A robust and flexible alternative to Fisher discriminant analysis
    Charles Bouveyron, Camille Brunet · 2012 · Neurocomputing
33. Knot selection by boosting techniques
    Florian Leitenstorfer, Gerhard Tutz · 2006 · Computational Statistics & Data Analysis
34. An Ant Colony Optimization approach for Stacking ensemble
    Yijun Chen, Man Leung Wong · 2010 · World Congress on Nature and Biologically Inspired Computing (NaBIC)
35. Boosted Mixture Learning of Gaussian Mixture Hidden Markov Models Based on Maximum Likelihood for Speech Recognition
    Jun Du, Yu Hu, Hui Jiang · 2011 · IEEE Transactions on Audio Speech and Language Processing
36. Top-down decision tree learning as information based boosting
    Eiji Takimoto, Akira Maruoka · 2003 · Theoretical Computer Science
37. New results in breast cancer classification obtained from an evolutionary computation/adaptive boosting hybrid using mammogram and history data
    Walker H. Land, Timothy D. Masters, Joseph Yuan-Chieh Lo, D.W. McKee, Frances R. Anderson · 2002 · IEEE Conference on Soft Computing in Industrial Applications (SMCia)
38. Text classification using the σ-FLNMAP neural network
    V. Petridis, Vassilis G. Kaburlasos, Pavlina Fragkou, Athanasios Kehagias · 2002 · International Joint Conference on Neural Networks (IJCNN)
39. Toward Gleasonian landscape ecology: From communities to species, from patches to pixels
    Samuel A. Cushman, Jeffrey S. Evans, Kevin McGarigal, Joseph M. Kiesecker · 2010
40. Prediction of Compressive Strength of Concrete Specimens Based on Interpretable Machine Learning
    Wenhu Wang, Yihui Zhong, Gang Liao, Qing Wei Ding, Tuan Zhang, Xiangyang Li · 2024 · Materials
41. Automated machine learning achieves accurate water quality prediction with reduced parameter requirements
    Deivid Campos, Viviane Galvão, Matheus Lopes de Rezende, Allan S. Braga, Matteo Bodini, Uilson Ricardo Venâncio Aires, Roland Yonaba, Leonardo Goliatt · 2026 · Scientific Reports
42. Probing heavy charged Higgs boson at the LHC
    Monoranjan Guchait, Aravind H. Vijay · 2018 · Physical review. D/Physical review. D.
43. VisRuler: Visual analytics for extracting decision rules from bagged and boosted decision trees
    Angelos Chatzimparmpas, Rafael M. Martins, Andreas Kerren · 2023 · Information Visualization
44. Tourism demand forecasting using stacking ensemble model with adaptive fuzzy combiner
    Selcuk Cankurt, Abdülhamit Subaşı · 2022 · Soft Computing
45. Combining discrete wavelet decomposition with soft computing techniques to predict monthly evapotranspiration in semi-arid Hakkâri province, Türkiye
    Okan Mert Katipoğlu · 2023 · Environmental Science and Pollution Research
46. A bagging-strategy based heterogeneous ensemble deep neural networks approach for the multiple components fault diagnosis of hydraulic systems
    Junlang Wang, Huoyao Xu, Jie Liu, Xiangyu Peng, Chaoming He · 2023 · Measurement Science and Technology
47. Day-ahead wind power forecasting based on feature extraction integrating vertical layer wind characteristics in complex terrain
    Keunmin Lee, Bongjoon Park, Jeongwon Kim, Jinkyu Hong · 2023 · Energy
48. Establishment of machine learning-based tool for early detection of pulmonary embolism
    Lijue Liu, Yaming Li, Na Liu, Jingmin Luo, Jinhai Deng, Weixiong Peng, Yongping Bai, Guogang Zhang, Guihu Zhao, Ning Yang et al. · 2023 · Computer Methods and Programs in Biomedicine
49. ANN prediction model of final construction cost at an early stage
    Khalid S. Al-Gahtani, Abdullah M. Alsugair, Naif M. Alsanabani, Abdulmajeed A. Alabduljabbar, Abdulmohsen S. Almohsen · 2024 · Journal of Asian Architecture and Building Engineering
50. Customer price sensitivities in competitive insurance markets
    Verschuren, Robert Matthijs · 2022 · Expert Systems with Applications
51. Advancing Civil Engineering with AI and Machine Learning: From Structural Health to Sustainable Development
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52. Learning higher-order logic programs
    Cropper, Andrew, Morel, Rolf, Muggleton, Stephen · 2020 · Machine Learning
53. Untitled work
    2015
54. Residual Networks Behave Like Ensembles of Relatively Shallow Networks
    Veit, Andreas, Wilber, Michael, Belongie, Serge · 2016 · arXiv
55. Untitled work
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