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Segmenting Continuous Motions with Hidden Semi-markov Models and Gaussian Processes.

, , , , , and . Frontiers Neurorobotics, (2017)

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Suggesting Sentences for ESL using Kernel Embeddings., , , and . NLP-TEA@IJCNLP, page 64-68. Asian Federation of Natural Language Processing, (2017)Segmenting Continuous Motions with Hidden Semi-markov Models and Gaussian Processes., , , , , and . Frontiers Neurorobotics, (2017)Mixture of Gaussian process experts for predicting sung melodic contour with expressive dynamic fluctuations., , , and . ICASSP, page 3714-3718. IEEE, (2014)Bayesian semi-supervised audio event transcription based on Markov indian buffet process., , , , , , and . ICASSP, page 3163-3167. IEEE, (2013)Estimating Differential Equations from Temporal Point Processes., and . Trans. Mach. Learn. Res., (2023)A Probabilistic Approach to Unsupervised Induction of Combinatory Categorial Grammar in Situated Human-Robot Interaction., , and . Humanoids, page 1-9. IEEE, (2018)Recognition of Japanese historical text lines by an attention-based encoder-decoder and text line generation., , , , and . HIP@ICDAR, page 37-41. ACM, (2019)Special issue on symbol emergence in robotics and cognitive systems (II)., , , , , , , , , and 5 other author(s). Adv. Robotics, 36 (5-6): 217-218 (2022)Human-like Natural Language Generation Using Monte Carlo Tree Search., , , , , and . CC-NLG, page 11-18. Association for Computational Linguistics, (2016)A Comprehensive Analysis of PMI-based Models for Measuring Semantic Differences., , , , and . PACLIC, page 21-31. Association for Computational Lingustics, (2021)