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Reconciling modern machine learning practice and the bias-variance trade-off

, , , and . (2018)cite arxiv:1812.11118.

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Persuasion by Peer or Expert for Web Search., , , and . CSCW Companion, page 225-228. ACM, (2018)Search successes and failures in query segments and search tasks: A field study., , , and . ASIST, volume 54 of Proc. Assoc. Inf. Sci. Technol., page 436-445. Wiley, (2017)Identifying Aspects and Analyzing Their Sentiments from Reviews., , , , , and . MICAI (Special Sessions), page 9-15. IEEE Computer Society, (2014)Reconciling modern machine learning and the bias-variance trade-off, , , and . (2018)cite arxiv:1812.11118.Reconciling modern machine learning practice and the bias-variance trade-off, , , and . (2018)cite arxiv:1812.11118.Understanding the spread of prevention and cessation messages on social media for substance use in youth., , , , , , and . Aslib J. Inf. Manag., 73 (2): 240-253 (2021)JU_CSE: A Conditional Random Field (CRF) Based Approach to Aspect Based Sentiment Analysis., , , and . SemEval@COLING, page 370-374. The Association for Computer Linguistics, (2014)Predicting Zika Prevention Techniques Discussed on Twitter: An Exploratory Study., , , and . CHIIR, page 269-272. ACM, (2018)Adaptive Voting in Multiple Classifier Systems for Word Level Language Identification., , , , and . FIRE Workshops, volume 1587 of CEUR Workshop Proceedings, page 47-50. CEUR-WS.org, (2015)