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24
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A Principal Components Approach to Combining Regression Estimates
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6
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Classifying Seismic Signals by Integrating Ensembles of Neural Networks
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4
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On-Site Learning
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56
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Linear and Order Statistics Combiners for Pattern Classification
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18
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Classification of Seismic Signals by Integrating Ensembles of Neural Networks
– Yair Shimshoni, Nathan Intrator
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9
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Robust Combining of Disparate Classifiers through Order Statistics
– Kagan Tumer, Joydeep Ghosh
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70
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Improving Regression Estimation: Averaging Methods for Variance Reduction with Extensions to General Convex Measure Optimization
– Michael Peter Perrone
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32
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Combinations of Weak Classifiers
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7
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Combining Stacking With Bagging To Improve A Learning Algorithm
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7
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An Algorithm for Active Data Collection for Learning - Feasibility Study with Neural Networks.
– Tirthankarr RayChaudhuri, Leonard G. C. Hamey
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1
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Accurate Modelling with Minimised Data Collection - An Active Learning Algorithm
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1
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From Conventional Control to Intelligent Neurocontrol Methods - A Survey of the Literature.
– Tirthankar RayChaudhuri, Leonard G. C. Hamey
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3
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Minimisation of Data Collection by Active Learning
– Tirthankar RayChaudhuri, Leonard G. C. Hamey
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Combining Neural Network Regression Estimates with Regularized Linear Weights
– Christopher Merz And, Christopher J. Merz, Michael J. Pazzani
- 1997
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Limits To Performance Gains In Combined Neural Classifiers
– Kagan Tumer And, Kagan Tumer, Joydeep Ghosh
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Rank-Based Multiple Classifier Decision Combination: A Theoretical Study
– Afsar Saranli, Mubeccel Demirekler
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1
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Learning to Form Dynamic Committees
– Santiago Ontañón
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1
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Divide and Conquer: Pattern Recognition using Mixtures of Experts
– Steve Waterhouse, Steve Waterhouse
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Combining Neural Network Regression Estimates Using Principal Components
– Christopher J. Merzand, Michael J. Pazzani
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