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A Cloud-based Machine Learning Pipeline for the Efficient Extraction of Insights from Customer Reviews
The efficiency of natural language processing has improved dramatically with the advent of machine learning models, particularly neural network-based solutions.
A stochastic approach to handle knapsack problems in the creation of ensembles
The common point is to maximize accuracy; however, a natural limitation occurs if incremental costs are also assigned to the individual voters.
Optimizing Majority Voting Based Systems Under a Resource Constraint for Multiclass Problems
Ensemble-based approaches are very effective in various fields in raising the accuracy of its individual members, when some voting rule is applied for aggregating the individual decisions.
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