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Embedding Learning for Declarative Memories.

, , , and . ESWC (1), volume 10249 of Lecture Notes in Computer Science, page 202-216. (2017)

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Averaging Regularized Estimators., and . Neural Computation, 9 (5): 1163-1178 (1997)Reducing the Rank in Relational Factorization Models by Including Observable Patterns., , and . NIPS, page 1179-1187. (2014)Transductive and Inductive Methods for Approximate Gaussian Process Regression., and . NIPS, page 953-960. MIT Press, (2002)Some Solutions to the Missing Feature Problem in Vision., and . NIPS, page 393-400. Morgan Kaufmann, (1992)A Solution for Missing Data in Recurrent Neural Networks with an Application to Blood Glucose Prediction., and . NIPS, page 971-977. The MIT Press, (1997)Mean field inference in a general probabilistic setting., , and . AISTATS, Society for Artificial Intelligence and Statistics, (1999)Mixture Approximations to Bayesian Networks., , and . UAI, page 639-646. Morgan Kaufmann, (1999)Tutorial summary: Learning with dependencies between several response variables., and . ICML, volume 382 of ACM International Conference Proceeding Series, page 14. ACM, (2009)Learning Gaussian processes from multiple tasks., , and . ICML, volume 119 of ACM International Conference Proceeding Series, page 1012-1019. ACM, (2005)Deep answers for naturally asked questions on the web of data., , , , , and . WWW (Companion Volume), page 445-449. ACM, (2012)