The Strength of Weak Learnability

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23. Communication-Efficient Distributed Reinforcement Learning
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24. Machine Learning and the Digital Measurement of Psychological Health
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26. Effective Classification Using a Small Training Set Based on Discretization and Statistical Analysis
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29. SMOTEBoost for Regression: Improving the Prediction of Extreme Values
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30. Singular Value Decomposition (SVD)
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31. Assessment of deep learning and classical statistical methods on forecasting hourly natural gas demand at multiple sites in Spain
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32. Early Thyroid Risk Prediction by Data Mining and Ensemble Classifiers
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33. General bounds on statistical query learning and PAC learning with noise via hypothesis boosting
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34. Pattern Recognition
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35. Comparison of mortality prediction models for road traffic accidents: an ensemble technique for imbalanced data
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38. BoostWofE: A New Sequential Weights of Evidence Model Reducing the Effect of Conditional Dependency
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41. QSAR study of angiotensin II antagonists using robust boosting partial least squares regression
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42. Generalized Smooth Monotonic Regression in Additive Modeling
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45. Hybrid Sampling with Bagging for Class Imbalance Learning
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48. Exploration and exploitation of multilingual data for statistical machine translation
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49. Zero Time Waste: Recycling Predictions in Early Exit Neural Networks
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50. Introducing digital tools for sustainable food supply management: Tackling food loss and waste in industrial canteens
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51. A comprehensive review on data-level methods for imbalanced data classification
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52. Agglomerative Approach for Identification and Elimination of Web Robots from Web Server Logs to Extract Knowledge about Actual Visitors
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53. Automatic Chatbot Knowledge Acquisition from Online Forum via Rough Set and Ensemble Learning
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54. Short‐term wind speed forecasting using wavelet transformation and AdaBoosting neural networks in Yunnan wind farm
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55. An Update on Statistical Boosting in Biomedicine
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56. Early Prediction of Sepsis From Clinical Data Using Ratio and Power-Based Features
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57. A reliable ensemble based approach to semi-supervised learning
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58. Ensemble machine learning approach for screening of coronary heart disease based on echocardiography and risk factors
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59. Robust mean-risk portfolio optimization using machine learning-based trade-off parameter
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60. Exploring the predictive capability of advanced machine learning in identifying severe disease phenotype in Salmonella enterica
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61. Ensemble machine learning-based models for estimating the transfer length of strands in PSC beams
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62. Shedding light on the asymmetric learning capability of AdaBoost
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63. LEARN++: an incremental learning algorithm for multilayer perceptron networks
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64. From Generalized Linear Models to Neural Networks, and Back
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65. Remedies for Severe Class Imbalance
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66. Robust Boosting via Convex Optimization: Theory and Applications
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67. From Isolation to Cooperation: An Alternative View of a System of Experts
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68. Robust Combining of Disparate Classifiers through Order Statistics
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69. Optimal ensemble construction via meta-evolutionary ensembles
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70. Modeling interfacial tension of surfactant–hydrocarbon systems using robust tree-based machine learning algorithms
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71. A Comprehensive Survey on Ensemble Learning-Based Intrusion Detection Approaches in Computer Networks
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72. Sparse Kernel-Based Ensemble Learning With Fully Optimized Kernel Parameters for Hyperspectral Classification Problems
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76. Boosting Algorithms for Delivery Time Prediction in Transportation Logistics
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95. Injury Severity Prediction From Two-Vehicle Crash Mechanisms With Machine Learning and Ensemble Models
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98. Diagnosis of Diabetes Using a Weight-Adjusted Voting Approach
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99. Cluster‐based ensemble of classifiers
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100. Effect of ensemble classifier composition on offline cursive character recognition
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