Dataset Groups Activity Stream Multiple-criteria Based Active Learning with Fixed-size Determinantal Point Processes Active learning aims to achieve greater accuracy with less training data by selecting the most useful data samples from which it learns. BibTex: @dataset{Xueying_Zhan_and_Qing_Li_and_Antoni_B_Chan_2024, abstract = {Active learning aims to achieve greater accuracy with less training data by selecting the most useful data samples from which it learns.}, author = {Xueying Zhan and Qing Li and Antoni B. Chan}, doi = {10.57702/dvtoyrk8}, institution = {No Organization}, keyword = {'Active Learning', 'Determinantal Point Process', 'Machine Learning'}, month = {dec}, publisher = {TIB}, title = {Multiple-criteria Based Active Learning with Fixed-size Determinantal Point Processes}, url = {https://service.tib.eu/ldmservice/dataset/multiple-criteria-based-active-learning-with-fixed-size-determinantal-point-processes}, year = {2024} }
