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A Comparison of the Taguchi Method and Evolutionary optimization in Multivariate Testing.

, , , and . CEC, page 1-6. IEEE, (2020)

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SparseNN: An Energy-Efficient Neural Network Accelerator Exploiting Input and Output Sparsity., , , and . CoRR, (2017)Construction of SCI Publications Information System for Statistic., , and . Intelligent Information Processing, volume 385 of IFIP Advances in Information and Communication Technology, page 202-207. Springer, (2012)SubMac: Exploiting the subword-based computation in RRAM-based CNN accelerator for energy saving and speedup., , , and . Integr., (2019)Accelerating Large Kernel Convolutions with Nested Winograd Transformation., , and . VLSI-SoC, page 1-6. IEEE, (2023)CompRRAE: RRAM-based convolutional neural network accelerator with reduced computations through a runtime activation estimation., , , and . ASP-DAC, page 133-139. ACM, (2019)SparseNN: An energy-efficient neural network accelerator exploiting input and output sparsity., , , and . DATE, page 241-244. IEEE, (2018)Nonlinear analysis of dynamic force microscopy., and . ACC, IEEE, (2006)A high-throughput and energy-efficient RRAM-based convolutional neural network using data encoding and dynamic quantization., , , and . ASP-DAC, page 123-128. IEEE, (2018)A Comparison of the Taguchi Method and Evolutionary Optimization in Multivariate Testing., , , and . CoRR, (2018)Ascend by Evolv: AI-Based Massively Multivariate Conversion Rate Optimization., , , , , , , , , and 4 other author(s). AI Magazine, 41 (1): 44-60 (2020)