A Activity diagram used in UML 6/9 and SysML B Bachman diagram Booch used in software engineering Block diagram Block Definition Diagram BDD used in SysML C Carroll diagram Cartogram Catalytic cycle Chemical equation Curly arrow diagram Category theory diagrams Cause-and-effect diagram Chord diagram Circuit diagram Class diagram from UML 1/9 Collaboration diagram from UML 2.0 Communication diagram from UML 2.0 Commutative diagram Comparison diagram Component diagram from UML 3/9 Composite structure diagram from UML 2.0 Concept map Constellation diagram Context diagram Control flow diagram Contour diagram Cordier diagram Cross functional flowchart D Data model diagram Data flow diagram Data structure diagram Dendrogram Dependency diagram Deployment diagram from UML 9/9 Dot and cross diagram Double bubble map used in education Drakon-chart E Entity-Relationship diagram ERD Event-driven process chain Euler diagram Eye diagram a diagram of a received telecommunications signal Express-G Extended Functional Flow Block Diagram EFFBD F Family tree Feynman diagram Flow chart Flow process chart Flow diagram Fusion diagram Free body diagram G Gantt chart shows the timing of tasks or activities used in project management Grotrian diagram Goodman diagram shows the fatigue data example: for a wind turbine blades H Hasse diagram HIPO diagram I Internal Block Diagram IBD used in SysML IDEF0 IDEF1 entity relations Interaction overview diagram from UML Ishikawa diagram J Jackson diagram K Karnaugh map Kinematic diagram L Ladder diagram Line of balance Link grammar diagram M Martin ERD Message Sequence Chart Mind map used for learning, brainstorming, memory, visual thinking and problem solving Minkowski spacetime diagram Molecular orbital diagram N N2 Nassi Shneiderman diagram or structogram a representation for structured programming Nomogram Network diagram O Object diagram from UML 2/9 Organigram Onion diagram also known as "stacked Venn diagram" P Package diagram from UML 4/9 and SysML Parametric diagram from SysML PERT Petri net shows the structure of a distributed system as a directed bipartite graph with annotations Phylogenetic tree - represents a phylogeny evolutionary relationships among groups of organisms Piping and instrumentation diagram P&ID Phase diagram used to present solid/liquid/gas information Plant Diagram Pressure volume diagram used to analyse engines Pourbaix diagram Process flow diagram or PFD used in chemical engineering Program structure diagram R Radar chart Radial Diagram Requirement Diagram Used in SysML Rich Picture R-diagram Routing diagram S Sankey diagram represents material, energy or cost flows with quantity proportional arrows in a process network. Sentence diagram represents the grammatical structure of a natural language sentence. Sequence diagram from UML 8/9 and SysML SDL/GR diagram Specification and Description Language. SDL is a formal language used in computer science. Smith chart Spider chart Spray diagram SSADM Structured Systems Analysis and Design Methodology used in software engineering Star chart/Celestial sphere State diagram are used for state machines in software engineering from UML 7/9 Swim lane Syntax diagram used in software engineering to represent a context-free grammar Systems Biology Graphical Notation a graphical notation used in diagrams of biochemical and cellular processes studied in Systems biology System context diagram System structure Systematic layout planning T Timing Diagram: Digital Timing Diagram Timing Diagram: UML 2.0 TQM Diagram Treemap U UML diagram Unified Modeling Language used in software engineering Use case diagram from UML 5/9 and SysML V Value Stream Mapping Venn diagram Voronoi diagram W Warnier-Orr Williot diagram Y Yourdon-Coad see Edward Yourdon, used in software engineering
Inductive learning对应于 meta learning (元学习)，要求从诸多给定的任务和数据中学习通用的模式，迁移到未知的任务和数据上。 Transductive learning对应于 domain adaptation (领域自适应)，给定训练的数据包含了目标域数据，要求训练一个对目标域数据有最小误差的模型。
如果是Inductive learning，我们在只知道ABCD的颜色的情况下，训练一个模型，推及到其他点。比如我们用nearest neighbor这个简单的 ...
Inductive learning 和 Transductive learning区别 在网上搜了一下 Inductive learning 和 Transductive learning 的区别，总结一下就是： Inductive learning 中文意为归纳式学习，它在训练过程中只在训练集上训练，完全不知道测试集的数据内容，模型训练完毕后，将其应用到测试集上 ...
演绎推理（英语：Deductive Reasoning）在传统的亚里士多德逻辑中是「结论，可从叫做‘前提’的已知事实，‘必然地’得出的推理」。如果前提为真，则结论必然为真。这区别于溯因推理和归纳推理：它们的前提可以预测出高概率的结论，但是不确保结论为真。 “演绎推理”还可以定义为结论在普遍 ...
1. 先看定义 演绎论证：必然来自前提 如果前提是正确的，那么结论是正确的。 Deductive Argument: necessarily follows from the premises if the premises are true, the conclusion is true. 归纳论证：前提在一定程度上支持结论 Inductive argument: conclusion is supported, to a greater degree or lesser degree, by the premises
GAT的这种特性使其在理论上更适合于inductive learning。 GAT的设计使其天然适合inductive learning。 GCN 虽然依赖于固定的图结构，但通过适当的修改（如图池化技术或灵活的节点特征表示），它也可以在一定程度上处理新的图结构，从而进行inductive learning。
Inductive 和 Coinductive type的理论基础是什么？ 一般为了方便程序员使用，人们往往会向一个基础理论T中添加递归类型，也可能是用语法糖模拟递归类型。 我知道的大致有两种方法添加：一种是外部的：定义递归类… 显示全部 关注者 44
归纳偏置说白了就是算法的"偏见"——面对新数据时，它倾向于做什么假设。这个概念很关键，比如说前几年的ViT和CNN之争，直接决定了为什么CNN和ViT在不同场景下表现差这么多。 什么是归纳偏置 机器学习模型本质上是在做模式匹配，但训练数据永远是有限的。归纳偏置就是模型的"先入为主"，帮它 ...
“碳正离子的黑暗森林理论：闷声发大财” 来简单说说我是 如何给高中生形象地解释“正诱导效应” （positive inductive effect）的，这部分的知识点出现在一些国际高中的课程中，属于大学预科课程（如英国A LEVEL）的一部分。
Inductive学习指的是训练出来的模型可以适配节点已经变化的测试集，但GCN由于卷积的训练过程涉及到邻接矩阵、度矩阵（可理解为拉普拉斯矩阵），节点一旦变化，拉普拉斯矩阵随之变化，也就是你说的需要“重新计算前面的归一化矩阵”，然后重新训练模型，不能“活学活用”，所以是Transductive的 ...
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