Best performances up to statistic significance achieved using semi-supervised active learning (SSAL), active learning (AL), and passive learning (PL) in pool-based and stream-based scenarios, as well as the number of human-labeled instances (#HLI) needed to achieve that performance.
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https://figshare.com/articles/dataset/Best_performances_up_to_statistic_significance_achieved_using_semi-supervised_active_learning_SSAL_active_learning_AL_and_passive_learning_PL_in_pool-based_and_stream-based_scenarios_as_well_as_the_number_of_human-labeled_instances_HLI_needed_to_achieve_t/3832518
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资源简介：
Best performances up to statistic significance achieved using semi-supervised active learning (SSAL), active learning (AL), and passive learning (PL) in pool-based and stream-based scenarios, as well as the number of human-labeled instances (#HLI) needed to achieve that performance.
创建时间：
2016-09-15
