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Adaptive Exact Learning of Decision Trees from Membership Queries.

, and . ALT, volume 98 of Proceedings of Machine Learning Research, page 207-234. PMLR, (2019)

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Bounds for the Number of Tests in Non-adaptive Randomized Algorithms for Group Testing., , and . SOFSEM, volume 12011 of Lecture Notes in Computer Science, page 101-112. Springer, (2020)Adaptive Exact Learning of Decision Trees from Membership Queries., and . ALT, volume 98 of Proceedings of Machine Learning Research, page 207-234. PMLR, (2019)Bounds for the Number of Tests in Non-Adaptive Randomized Algorithms for Group Testing., , and . CoRR, (2019)Optimal deterministic group testing algorithms to estimate the number of defectives., and . Theor. Comput. Sci., (2021)On Learning and Testing Decision Tree., and . CoRR, (2021)Heuristic Random Designs for Exact Identification of Defectives Using Single Round Non-adaptive Group Testing and Compressed Sensing.. CoRR, (2021)On Testing Decision Tree., and . STACS, volume 219 of LIPIcs, page 17:1-17:16. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2022)Optimal Randomized Group Testing Algorithm to Determine the Number of Defectives., , , , , , and . SWAT, volume 162 of LIPIcs, page 18:1-18:12. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2020)The Maximum Cosine Framework for Deriving Perceptron Based Linear Classifiers., and . CoRR, (2017)The Maximum Cosine Framework for Deriving Perceptron Based Linear Classifiers., and . ALT, volume 9925 of Lecture Notes in Computer Science, page 207-222. (2016)