网络学习 网络释义 1. 学习 ...学习(active learning)、基于失败的学习(error-based learning)、元认知指导(meta-cognitive instruction)、掌握导向(… doc.mbalib.com|基于 1 个网页
Prediction errors drive implicit learning in language, but the specific mechanisms underlying these effects remain debated. This issue was addressed in an EEG study manipulating the context of a repeated unpredictable word (repetition of the complete sentence or repetition of the word in...
Error-based learning leads to better acquisition, while reinforcement learning leads to better retention. Therefore, the combination of both types of learning is more efficient for both acquisition and retention processes. These findings provide new insight into the acquisition and retention of a ...
Correction: Reward abundance interferes with error-based learning in a visuomotor adaptation taskPHYSIOLOGICAL adaptationLEARNINGTASKSREINFORCEMENT learning... KVD Kooij,LO Wijdenes,T Rigterink,... - 《Plos One》 被引量: 0发表: 2019年 Failure to consolidate the consolidation theory of learning for ...
Lattice-based cryptosystem is one of the important candidates for post-quantum cryptography and cryptosystem based on learning with errors is the most efficient in lattice-based cryptosystems with strong security proof.We present a practical implementation of LWE-based cryptosystem both on CPU and GPU....
(namely,the syntactic head of dependency relation),uses Chinese dependency parsing to recognize the extents of the time expressions,Subsequently,we use the transformation-based error-driven learning to improve the performance.,which can automatically acquire and modify the rules and get 3.5% increase ...
Following the study, the participant increased her topographical knowledge of her surroundings. Route learning interventions based on errorless-based techniques appear to be a promising approach for improving the independence in early dementia of Alzheimer type. 展开 ...
Faculty Opinions recommendation of Do People With Severe Traumatic Brain Injury Benefit From Making Errors? A Randomized Controlled Trial of Error-Based and Errorless Learning. 来自 Semantic Scholar 喜欢 0 阅读量: 2 作者: R Ptak DOI: 10.3410/f.732119591.793554464 年份: 2018 ...
Without activation functions, neural networks would be limited to learning linear mapping, which significantly limits their ability to express complex tasks. This paper considers the following four activation functions (as shown in Figure 2), defined as follows: (1) Linear activation function (LAF) ...
Subsequently, it minimizes the effect of Gaussian noise (GN) by incorporating the residual-learning to update the LR training set. Meanwhile, it hallucinates the respective LR face using the updated LR training set. Here, the residual means reconstruction error occurred by the GN. It employs the...