Titlebook: Neural Information Processing; 25th International C Long Cheng,Andrew Chi Sing Leung,Seiichi Ozawa Conference proceedings 2018 Springer Nat

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creatine-kinase

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Asynchronous Value Iteration Networkms value iteration on the entire state space of a Markov decision process and all states in the space are updated by sweeping the state space systematically, regardless of their significance. This paper introduces an improved version of VIN with a novel planning module, called asynchronous value ite

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FVR-SGD: A New Flexible Variance-Reduction Method for SGD on Large-Scale Datasets slow convergence. To accelerate the speed, many variance reduction methods have been proposed. However, most of these methods require additional memory cost or computational burden on full gradient, which results in low efficiency or even unavailable while applied to real-world applications with la

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勤勉

A Hybrid Model Based on the Rating Bias and Textual Bias for Recommender Systemsity problem. To remit this issue, most researchers focus on using the item side-information to improve the performance and make a great success such as CDL, ConvMF. But these models all ignore the effect of specific item bias which is important because the same word represented different semantic fo

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.g., safety, QoS). However, understanding the implications of these decisions . is difficult due to the different types and degrees of uncertainty that affect such systems (e.g., simplifying assumptions, human-in-the-loop). To provide some assurances about self-adaptive system designs, evidence can

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