The achieved results show that the proposed machine learning methodallows us to provide the accuracy of computation comparable with that achieved double precisionand reduce the energy consumption up to 36% compared to the double precision version ofMPDATA.doi:10.1002/cpe.4644...
To solve the problem, a dynamic extreme learning machine for data stream classification (DELM) is proposed. DELM utilizes online learning mechanism to train ELM as basic classifier and trains a double hidden layer structure to improve the performance of ELM. When an alert about concept drift is...
Figure1illustrates the schematic of an active-learning algorithm by which an MLP is generated on the fly during the MD/tfMC simulation of graphene growth on a Cu (111) surface. The carbon-growth-on-metal machine-learning potential is henceforth dubbed CGM-MLP. The construction of CGM-MLP begi...
Singleton and doubleton columns are called sparse columns. The density of the simplex tableau affects the density of the pivot column and row. As pivoting uses the pivot column and row across the tableau, the density of the pivot row and column affects the amount of work required. It is ...
Score score double The score, if provided Free Text freeText string Text for questions with FreeText question type Decline To Answer declineToAnswer boolean If set, this is the answer signifying that a user declined to answer the question. Position position integer The answers sorting position...
Firstly, it implements Clipped Double Q-Learning, which employs two Q-functions, namely \(Q_1(s, a; \theta _{Q_1})\) and \(Q_2(s, a; \theta _{Q_2})\). The smaller of the two values is selected to form the targets in the loss functions, reducing the overestimation bias. ...
& Sun, Y. A deep reinforcement learning algorithm suitable for autonomous vehicles: double bootstrapped soft-actor-critic-discrete. IEEE Trans. Cogn. Dev. Syst. https://doi.org/10.1109/TCDS.2021.3092715 (2021). Schwall, M., Daniel, T., Victor, T., Favaro, F. & Hohnhold, H. Waymo ...
Chen H, Yang C, Heidari AA, Zhao X (2020) An efficient double adaptive random spare reinforced whale optimization algorithm. Expert Syst Appl 154 Tizhoosh HR (2005) Opposition-based learning: a new scheme for machine intelligence. In: International conference on computational intelligence for model...
The number of backup workers b has a double effect on the convergence speed. The larger b is, the faster each iteration is, because the PS needs to wait less inputs from the workers. At the same time, the PS aggregates less information, so the model update is noisier and more iteratio...
The accumulation of ions can also induce large capacitances due to electric double layers and pseudocapacitance15,16. By using these effects, combined with devices based on two-dimensional materials, the turn-on properties of transistors have been pushed to below the thermionic limit17,18,19,20,...