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1. BEAL: A Bayesian Deep Active Learning Method for Efficient Deep Multi-Label Text Classification

   BEAL is a deep active learning method that uses Bayesian deep learning with dropout to infer the model’s posterior predictive distribution and introduces an expected confidence-based acquisition function to select uncertain samples. Experiments show that BEAL outperforms other active learning methods, requiring fewer labeled samples for efficient training.

   2024-11-18 Tags: beal, bayesian, deep learning, active learning, multi-label, text, classification, bert, machine learning by klotz
2. Active learning, almost black magic | Larsblog

   "This algorithm is called the "(mu, lambda) Evolution Strategy". It is an evolutionary algorithm but it is NOT a genetic algorithm."

   2013-10-20 Tags: dbpedia, genetic algorithms, active learning, machine learning by klotz

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