The Strength of Weak Learnability

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31. Predicting hospitality financial distress with ensemble models: the case of US hotels, restaurants, and amusement and recreation
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32. Uncertain Schema Matching
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33. A boosting approach for confidence scoring
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38. Perspectives on making big data analytics work for oncology
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40. A combination of clustering-based under-sampling with ensemble methods for solving imbalanced class problem in intelligent systems
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42. Boosting kernel density estimates: A bias reduction technique?
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43. Twitter Sentiment Detection via Ensemble Classification Using Averaged Confidence Scores
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44. Weighting versus pruning in rule validation for detecting network and host anomalies
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45. Exact Identification of Read-Once Formulas Using Fixed Points of Amplification Functions
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46. Boosting with stumps for predicting transcription start sites
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47. AI Algorithm for Mode Classification of PCF-SPR Sensor Design
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48. Creep lifetime prediction of 9% Cr martensitic heat-resistant steel based on ensemble learning method
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49. Predictive analytics using statistical, learning, and ensemble methods to support real-time exploration of discrete event simulations
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50. Selection of Ordinally Scaled Independent Variables with Applications to International Classification of Functioning Core Sets
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51. Layered Ensemble Architecture for Time Series Forecasting
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52. enDNA-Prot: Identification of DNA-Binding Proteins by Applying Ensemble Learning
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53. Multi-objectivization and ensembles of shapings in reinforcement learning
    Tim Brys, Anna Harutyunyan, Peter Vrancx, Ann Nowé, Matthew Edmund Taylor · 2017 · Neurocomputing
54. Ensemble of Deep Recurrent Neural Networks for Identifying Enhancers via Dinucleotide Physicochemical Properties
    Kok Keng Tan, Nguyen Quoc Khanh Le, Hui‐Yuan Yeh, Matthew Chin Heng Chua · 2019 · Cells
55. Semi-supervised rotation forest based on ensemble margin theory for the classification of hyperspectral image with limited training data
    Wei Feng, Yinghui Quan, Gabriel Dauphin, Qiang Li, Lianru Gao, Wenjiang Huang, Junshi Xia, Wentao Zhu, Mengdao Xing · 2021 · Information Sciences
56. Coverage-based resampling: Building robust consolidated decision trees
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57. Bagged Decision Trees Based Scheme of Microgrid Protection Using Windowed Fast Fourier and Wavelet Transforms
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58. On weak base Hypotheses and their implications for boosting regression and classification
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59. In Silico Predictive Modeling of CRISPR/Cas9 guide efficiency
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60. A Q-learning-based multi-agent system for data classification
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61. Selection of relevant features and examples in machine
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62. ABC-boost
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63. Pattern Recognition in Latin America in the “Big Data” Era
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64. Machine Learning Algorithms in Heavy Process Manufacturing
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65. A Neural Network Ensemble Classifier for Effective Intrusion Detection Using Fuzzy Clustering and Radial Basis Function Networks
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66. Ensemble Machine Learning for Estimating Fetal Weight at Varying Gestational Age
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67. A generalised framework for detailed classification of swimming paths inside the Morris Water Maze
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68. A Ranked Subspace Learning Method for Gene Expression Data Classification
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70. Using Decision Trees for Agent Modeling: Improving Prediction Performance
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71. A Novel Multi-Stage Ensemble Model With a Hybrid Genetic Algorithm for Credit Scoring on Imbalanced Data
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72. A Lattice-Computing ensemble for reasoning based on formal fusion of disparate data types, and an industrial dispensing application
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74. Computational Methods for the Discovery of Metabolic Markers of Complex Traits
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75. Resilient modulus descriptive analysis and estimation for fine-grained soils using multivariate and machine learning methods
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76. Data-driven decision making based on evidential reasoning approach and machine learning algorithms
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77. SGBBA: An Efficient Method for Prediction System in Machine Learning using Imbalance Dataset
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78. Boosting with structure information in the functional space
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80. An Ensemble Approach to Knowledge-Based Intensity-Modulated Radiation Therapy Planning
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86. Detecting opinion spams through supervised boosting approach
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87. Does Tail Label Help for Large-Scale Multi-Label Learning?
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98. Exact identification of circuits using fixed points of amplification functions
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