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
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 ...
correct error,avoid error,find error,ignore error,make error adj.+n. serious error,Common error,fundamental error,gross error,basic error 权威英汉双解 英汉 英英 网络释义 error 显示所有例句 n. — see also margin of error 1. 错误;差错;谬误a mistake, especially one that causes problems or affe...
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....
Errorless learning is a learning strategy that is in contrast to trial and error learning or errorful learning. Interventions using anerrorless learningapproach are based on differences in learning abilities. It is typical for people with memory impairments to remember their own mistakes as results ...
Recognizing time expressions is the foundation of its normalization,and its performance directly influences the robustness of the normalization.This paper proposes a new method for recognizing the extents of the time expressions based on dependency parsing and error-driven learning,which begins with time...
(cellchat, umap.method="uwot",type = "functional") Manifold learning of the signaling networks for datasets 1 2 Found more than one class "dist" in cache; using the first, from namespace 'BiocGenerics' Also defined by ‘spam’ Found more than one class "dist" in cache; using the first...
The third assumption (zero-mean errors) is probably the most important as it effectively makes any Kalman filter-based data assimilation system blind to the presence of systematic model errors (Dee, 2005). The term bias is used here with a somewhat wider meaning than that usually associated ...
Machine Learning Services (in database) Queries, stored procedures, views, functions, triggers (T-SQL) Replication, Change Tracking, Change Data Capture Startup, shutdown, restart issues (instance or database) SQL Server resource usage (CPU, Memory, Storage) and Con...