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Embedding Entities and Relations for Learning and Inference in Knowledge Bases

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An Overview of Deep-Structured Learning for Information Processing. (2011)Improved Shuffled Frog Leaping Algorithm for Solving Multi-aisle Automated Warehouse Scheduling Optimization., , , and . AsiaSim, volume 402 of Communications in Computer and Information Science, page 82-92. Springer, (2013)Learning Input and Recurrent Weight Matrices in Echo State Networks., , and . CoRR, (2013)RoMD: Robust device-free motion detection usin PHY layer information., , , , and . SECON, page 154-156. IEEE, (2015)Towards deeper understanding: Deep convex networks for semantic utterance classification., , , and . ICASSP, page 5045-5048. IEEE, (2012)A Bayesian approach to speech feature enhancement using the dynamic cepstral prior., , and . ICASSP, page 829-832. IEEE, (2002)Efficient and Robust Language Modeling in an Automatic Children's Reading Tutor System., , , and . ICASSP (4), page 193-196. IEEE, (2007)A deep architecture with bilinear modeling of hidden representations: Applications to phonetic recognition., , and . ICASSP, page 4805-4808. IEEE, (2012)New types of deep neural network learning for speech recognition and related applications: an overview., , and . ICASSP, page 8599-8603. IEEE, (2013)Variational inference and learning for segmental switching state space models of hidden speech dynamics., , and . ICASSP (1), page 872-875. IEEE, (2003)