(AAAI' 20) A Python Toolbox for Machine Learning Model Combination
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Updated
Jan 14, 2023 - Python
(AAAI' 20) A Python Toolbox for Machine Learning Model Combination
Learning-to-Rank method for combining retrieval models.
Code for BigData paper 'Ensemble Methods for Collective Intelligence: Combining Ubiquitous ML Models in IoT'
Repository for my Master's thesis comparing volatility models.
Importance sampling for (log-linear) mixtures
Offline ensemble-combiner benchmark: competence weighting and robust aggregation recover a known Bayes signal where naive averaging collapses -- a 2x2 dissociation (weighting x aggregation) plus a diversity control, numpy-only, no downloads.
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