Interactive concept learning in image search
The concept of learning, as it is understood today, has been greatly influenced.By the ___study of the learning process, and as a result it is much more widely interpreted than has been customary in popular uses of the term. A.pedagogical B.sociological C.psychological D.linguistic 相关知...
题目222 "Learning for learning's sake is an outdated concept. Today, education must serve an ulterior purpose and be directed toward clear goals."222.为了学习而学习已经是过时的理念。现在的教育必须是面向未来并且有明确的目标。 相关知识点: 试题来源: ...
Here, we propose a sequence-to-drug concept for computational drug design based on protein sequence information by end-to-end differentiable learning. We validate this concept in three stages. First, we design TransformerCPI2.0 as a core tool for the concept, which demonstrates generalization ...
Concept-basedimagesearch:基于概念的图像检索 。lso variably named as "description-based" or "text-based"image indexing/retrieval, refers to retrieval from text-based indexing of images that may employ keywords, subject headings, captions, or natural language text。还有一种是content based image retriv...
Expln the concept of phonics in language learning.相关知识点: 试题来源: 解析 Phonics is a method of teaching reading and writing by developing learners' ability to associate letters (graphemes) with their corresponding sounds (phonemes) to decode words. 1. **问题判断**:题干要求解释"phonics"...
Expln the concept of "phonetic listening" and its significance in language learning. (2分) 相关知识点: 试题来源: 解析 "Phonetic listening"指专注于语言中音位、发音、语调等元素的听力训练。其意义在于提升对语音特征的敏感度,帮助学习者准确辨音、模仿发音,从而改善听力理解及口语表达。 1. 判断题目完整性...
Modeling Concept: Modeling, could be conceived as an abstraction of the real system, helps to analyze complex, real-world problems in order to predict what might happen with some course of action. From: Plant Intelligent Automation and Digital Transformation, 2023 ...
The field of explainable artificial intelligence (XAI) aims to bring transparency to today’s powerful but opaque deep learning models. While local XAI methods explain individual predictions in the form of attribution maps, thereby identifying ‘where’
Concept learning categorizes the process to partition samples into classes for the purpose of generalization, discrimination, and inference [1]. Concepts are the basis of most cognitive processes such as inference, learning, and reasoning [2,3,4]. Concept modeling is fundamental in the fields of...