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Recognizing Handwritten Digits Using Mixtures of Linear Models., , and . NIPS, page 1015-1022. MIT Press, (1994)Using Pairs of Data-Points to Define Splits for Decision Trees., and . NIPS, page 507-513. MIT Press, (1995)Reinforcement learning for bandwidth estimation and congestion control in real-time communications., , , , , , , , , and 4 other author(s). CoRR, (2019)Modeling the manifolds of images of handwritten digits., , and . IEEE Trans. Neural Networks, 8 (1): 65-74 (1997)OpenNetLab: Open Platform for RL-based Congestion Control for Real-Time Communications., , , , , , , , , and 1 other author(s). APNet, page 70-75. ACM, (2022)DNN No-Reference PSTN Speech Quality Prediction., , , , , , and . INTERSPEECH, page 2867-2871. ISCA, (2020)Using Generative Models for Handwritten Digit Recognition, , and . IEEE Transactions on Pattern Analysis and Machine Intelligence, 18 (6): 592--606 (1995)Adaptive Elastic Models for Hand-Printed Character Recognition., , and . NIPS, page 512-519. Morgan Kaufmann, (1991)Using a neural net to instantiate a deformable model., , and . NIPS, page 965-972. MIT Press, (1994)Adaptive Elastic Models for Hand-Printed Character Recognition, , and . Advances in Neural Information Processing Systems 4, Morgan Kaufmann, San Francisco, CA, (1992)