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A review of AI teaching and learning from 2000 to 2020.

, , , , , and . Educ. Inf. Technol., 28 (7): 8445-8501 (2023)

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On the Importance of Critical Period in Multi-stage Reinforcement Learning., , , , , , and . CoRR, (2022)Measurement of Urinary N-Telopeptides and Serum C-Telopeptides from Type I Collagen Using a Lateral Flow-Based Immunoassay., , , , , and . Sensors, 13 (1): 165-174 (2013)Genome sequence of the hot pepper provides insights into the evolution of pungency in Capsicum species, , , , , , , , , and 61 other author(s). Nat. Genet., (2014)Goal-Aware Cross-Entropy for Multi-Target Reinforcement Learning., , , , , and . NeurIPS, page 2783-2795. (2021)Value of virtual monochromatic spectral image of dual-layer spectral detector CT with noise reduction algorithm for image quality improvement in obese simulated body phantom., , , , , , , and . BMC Medical Imaging, 19 (1): 76:1-76:11 (2019)Recognition of packet loss speech using the most reliable reduced-frame-rate data., , , and . SMC, page 1810-1815. IEEE, (2014)Performance Analysis of Distributed Speech Recognition Using Analysis-by-Synthesis Frame Reduced Front End under Packet Loss Conditions., , and . SMC, page 1992-1997. IEEE, (2015)Piecewise Polynomial High-Order Hidden Markov Models with Applications in Speech Recognition.. CIT, page 323-327. IEEE Computer Society, (2016)Estimation of channel bias for telephone speech recognition., , and . ICSLP, page 1840-1843. ISCA, (1996)A study on adaptations of cepstral and delta cepstral coefficients for noisy speech recognition., and . ICSLP, page 1011-1014. ISCA, (1994)