The Strength of Weak Learnability

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Items 201–300 of 1,455

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10. To Center or Not to Center: That Is Not the Question—An Ancillarity–Sufficiency Interweaving Strategy (ASIS) for Boosting MCMC Efficiency
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11. Reviewing ensemble classification methods in breast cancer
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16. Operational Research and Artificial Intelligence Methods in Banking
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18. Fast decorrelated neural network ensembles with random weights
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19. On Issues of Instance Selection
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20. Advancing monthly streamflow prediction accuracy of CART models using ensemble learning paradigms
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21. When won't membership queries help?
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22. Data‐Driven Materials Innovation and Applications
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23. Identifying Different Transportation Modes from Trajectory Data Using Tree-Based Ensemble Classifiers
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24. Inference in the age of big data: Future perspectives on neuroscience
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25. Online Ensemble Learning
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26. An improved boosting based on feature selection for corporate bankruptcy prediction
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27. Machine learning improves accounting estimates: evidence from insurance payments
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28. Coupling machine learning methods with wavelet transforms and the bootstrap and boosting ensemble approaches for drought prediction
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29. On the Bayes-risk consistency of regularized boosting methods
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30. Improving performance of intrusion detection system using ensemble methods and feature selection
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31. Light Gradient Boosting Machine for General Sentiment Classification on Short Texts: A Comparative Evaluation
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32. A note on margin-based loss functions in classification
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33. An ensemble of filters and classifiers for microarray data classification
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34. Predicting Instructor Performance Using Data Mining Techniques in Higher Education
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35. Confusion-Matrix-Based Kernel Logistic Regression for Imbalanced Data Classification
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36. Medical diagnosis with c4.5 rule preceded by artificial neural network ensemble
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37. Cost-Sensitive Boosting
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38. ENSEMBLE OF SOFTWARE DEFECT PREDICTORS: AN AHP-BASED EVALUATION METHOD
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39. Aggregation for Gaussian regression
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40. Multistage RBF neural network ensemble learning for exchange rates forecasting
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41. Information Geometry of U-Boost and Bregman Divergence
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42. An Ensemble ELM Based on Modified AdaBoost.RT Algorithm for Predicting the Temperature of Molten Steel in Ladle Furnace
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43. A literature review of fault diagnosis based on ensemble learning
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44. MadaBoost: A Modification of AdaBoost
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45. Ensemble Learning Techniques and its Efficiency in Machine Learning: A Survey
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46. Theoretical Views of Boosting and Applications
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47. AdaBoost typical Algorithm and its application research
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48. Airborne Vehicle Detection in Dense Urban Areas Using HoG Features and Disparity Maps
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49. Flood frequency analysis at ungauged sites using artificial neural networks in canonical correlation analysis physiographic space
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50. Extracting symbolic rules from trained neural network ensembles
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51. Search Personalization Using Machine Learning
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52. Multiple classifier application to credit risk assessment
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53. A Survey of Methods for Managing the Classification and Solution of Data Imbalance Problem
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54. A cluster-based resampling method for pseudo-relevance feedback
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55. Enhancing Multiclass Classification in FARC-HD Fuzzy Classifier: On the Synergy Between $n$-Dimensional Overlap Functions and Decomposition Strategies
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56. Classification of imbalanced ECG beats using re-sampling techniques and AdaBoost ensemble classifier
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57. Distributed denial of service attack detection using an ensemble of neural classifier
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58. Estimation of water quality characteristics at ungauged sites using artificial neural networks and canonical correlation analysis
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59. Evaluation of tree-based ensemble learning algorithms for building energy performance estimation
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60. Ensemble Approach of Optimized Artificial Neural Networks for Solar Photovoltaic Power Prediction
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61. The ensemble approach to forecasting: A review and synthesis
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62. Learning pattern classification-a survey
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63. A hybrid ensemble approach for enterprise credit risk assessment based on Support Vector Machine
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64. Combinations of weak classifiers
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65. A Machine Learning Approach to Volatility Forecasting
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66. Accelerated gradient boosting
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67. On the Accuracy of Meta-learning for Scalable Data Mining
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68. Improving Performance in Neural Networks Using a Boosting Algorithm
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69. Meta-Learning in Distributed Data Mining Systems: Issues and Approaches
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70. Learning the CLASSIC Description Logic: Theoretical and Experimental Results
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71. Layered Learning
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72. Machine Learning for Stock Selection
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73. Energy prediction techniques for large-scale buildings towards a sustainable built environment: A review
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74. Radar Deception Jamming Recognition Based on Weighted Ensemble CNN With Transfer Learning
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75. Diversity in Neural Network Ensembles
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76. A new sampling method for classifying imbalanced data based on support vector machine ensemble
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77. Density-Based Multifeature Background Subtraction with Support Vector Machine
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78. Research on Ensemble Learning
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80. Classic Works of the Dempster-Shafer Theory of Belief Functions: An Introduction
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84. Real-time prediction of inpatient length of stay for discharge prioritization
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85. Multiclass learning, boosting, and error-correcting codes
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88. Stacking models for nearly optimal link prediction in complex networks
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89. Elements of Computational Statistics
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90. Keystroke dynamics identity verification—its problems and practical solutions
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91. Boosting Contextual Information for Deep Neural Network Based Voice Activity Detection
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92. Boosting diffusion indices
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95. Detection of distributed denial of service attacks using an ensemble of adaptive and hybrid neuro-fuzzy systems
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96. An Empirical Comparison of Machine-Learning Methods on Bank Client Credit Assessments
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97. Adapting the Tesseract open source OCR engine for multilingual OCR
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98. A two-stage classification technique for bankruptcy prediction
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99. Ensemble based collaborative and distributed intrusion detection systems: A survey
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