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Efficient Inference and Learning in a Large Knowledge Base: Reasoning with Extracted Information using a Locally Groundable First-Order Probabilistic Logic.

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Efficient and Distributed Generalized Canonical Correlation Analysis for Big Multiview Data., , , , , , , and . IEEE Trans. Knowl. Data Eng., 31 (12): 2304-2318 (2019)The 2005 AAAI Classic Paper Awards., and . AI Magazine, 26 (4): 98-99 (2005)Machine learning. McGraw-hill New York, (1997)Improving Text Classification by Shrinkage in a Hierarchy of Classes, , , and . ICML, page 359-367. Morgan Kaufmann, (1998)Author's response to reviews of Machine Learning.. Artif. Intell., 131 (1-2): 223-225 (2001)Scoup-SMT: Scalable Coupled Sparse Matrix-Tensor Factorization, , , , , and . CoRR, (2013)Efficient Inference and Learning in a Large Knowledge Base: Reasoning with Extracted Information using a Locally Groundable First-Order Probabilistic Logic., , , , and . CoRR, (2014)Learning to Learn Semantic Parsers from Natural Language Supervision., , and . CoRR, (2019)Estimating Accuracy from Unlabeled Data: A Bayesian Approach., , and . ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 1416-1425. JMLR.org, (2016)Machine Learning for Analyzing Human Brain Function.. PAKDD, volume 3518 of Lecture Notes in Computer Science, page 1. Springer, (2005)