LEARNABILITY

作品数：8被引量：7H指数：2
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Learnability in Online Kernel Selection with Memory Constraint via Data-Dependent Regret Analysis
《Journal of Computer Science & Technology》2025年第1期73-84,共12页Jun-Fan Li Shi-Zhong Liao 
supported by the National Natural Science Foundation of China under Grant No.62076181.
Online kernel selection is a fundamental problem of online kernel methods.In this paper,we study online kernel selection with memory constraint in which the memory of kernel selection and online prediction procedures ...
关键词：model selection online kernel learning memory constraint LEARNABILITY 
Learnability with time-sharing computational resource concerns
《National Science Review》2024年第10期160-162,共3页Zhi-Hua Zhou 
supported by the National Science and Technology Major Project(2022ZD0114800).
Conventional machine learning theories generally assume explicitly or implicitly that there are enough or even infinitely supplied computational resources such that all received data can be handled.In real practice,ho...
关键词：HANDLE SUCH assume 
Analysis of learnability of a novel hybrid quantum-classical convolutional neural network in image classification
《Chinese Physics B》2024年第4期275-283,共9页程涛 赵润盛 王爽 王睿 马鸿洋 
Project supported by the Natural Science Foundation of Shandong Province,China (Grant No.ZR2021MF049);the Joint Fund of Natural Science Foundation of Shandong Province (Grant Nos.ZR2022LLZ012 and ZR2021LLZ001)。
We design a new hybrid quantum-classical convolutional neural network(HQCCNN)model based on parameter quantum circuits.In this model,we use parameterized quantum circuits(PQCs)to redesign the convolutional layer in cl...
关键词：parameterized quantum circuits quantum machine learning hybrid quantum-classical convolutional neural network 
基于内嵌物理信息深度学习模型的增材制造工艺参数及熔池尺寸预测被引量：5
《Engineering》2023年第4期181-195,M0008,共16页赵明志 韦辉亮 茅仪铭 张长东 刘婷婷 廖文和 
supported by the Frontier Leading Technology Basic Research Project of Jiangsu(BK20202007);the National Natural Science Foundation of China(52175330);the Fundamental Research Funds for the Central Universities(30921011202).
熔池特征对激光粉末床熔融(LPBF)的打印质量有显著影响,打印参数和熔池尺寸的定量预测对LPBF中复杂过程的智能控制至关重要。然而由于高度非线性,打印参数和熔池尺寸的双向预测一直极具挑战。为了解决此问题,本工作融合典型实验、机理...
关键词：Additive manufacturing Molten pool MODEL Deep learning LEARNABILITY 
Learnability of Grammatical Sequencing: A Processability Perspective of Textbook Evaluation in EFL Settings
《Chinese Journal of Applied Linguistics》2019年第2期236-257,264,共23页Xiaofei TANG 
supported by the Fundamental Research Funds for the Central Universities(WUT:2018IVA078);the Teaching Research Funds of Wuhan University of Technology(w2018130)
This study conducts an acquisition-based evaluation of four primary-school English textbook series used in China. The evaluation aims to determine whether the sequencing of grammatical structures in the series is comp...
关键词：textbook evaluation L2 learning sequence Processability Theory TESOL EFL settings 
Discourse Intonation and Teacher Cognition
《Sino-US English Teaching》2014年第10期746-754,共9页Mahmoud Jeidani 
This study examines the relationship between discourse intonation （henceforth DI） and teacher cognition. Drawing on the rich literature on the teacher cognition in grammar, this study borrows some relevant insights ...
关键词：discourse intonation PROMINENCE TONES TEACHABILITY LEARNABILITY Lingua Franca Core （LFC） 
Learnability of multi-instance multi-label learning被引量：2
《Chinese Science Bulletin》2012年第19期2488-2491,共4页WANG Wei ZHOU ZhiHua 
supported by the National Basic Research Program of China(2010CB327903);the National Natural Science Foundation of China(61073097,61021062)
Multi-instance multi-label learning(MIML) is a new machine learning framework where one data object is described by multiple instances and associated with multiple class labels.During the past few years,many MIML algo...
关键词：机器学习 多实例 标签 易学 数据对象 ML算法 
U.G and Learnability of Second Languages
《科学时代》2010年第7期234-235,共2页
关键词：第二语言 英语 语法 语言学 
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