文档详情 ID: cmgvbd9ho00bth6885ynxkh8f 后台管理 165006_学堂在线 × 王文敏教授 - 人工智能原理与核心算法 网盘资源 | 影盘社 file:11.xlsx file:(10.3.1)-asset-v1_PekingX+20180320001+201.pdf file:[10.3.1]-10.3 Clustering(聚类).mp4 file:[10.4.1]-10.4 Ranking(排名)[整理不易‖记得关注:CunWorkNotes].mp4 file:#10.6.1#-html[良心整理‖免费获取:cunlove.cn].pdf file:[10.5.1]-10.5 Dimensionality Reduction(降维.mp4 file:[3.3.1]-3.3 Searching for Solutions(通过搜索.mp4 file:#3.7.1#-html.pdf file:[3.2.1]-3.2 Example Problems(问题实例).mp4 file:[3.6.1]-3.6 Heuristic Functions(启发式函数).mp4 file:[3.5.1]-3.5 Informed Search Strategies(有[资源精选‖更多关注:CunWorkNotes].mp4 file:(3.5.2)-asset-v1_PekingX+20180320001+201[更多精选‖公众号:CunWorkNotes 获取].pdf file:[3.1.1]-3.1 Problem Solving Agents(问题求解A.mp4 file:[3.4.4]-3.4 Uninformed Search Strategies.mp4 file:[11.3.1]-11.3 Reinforcement Learning Para.mp4 file:[11.4.1]-11.4 Other Learning Paradigms(其他.mp4 file:[11.2.1]-11.2 Unsupervised Learning Parad[手动整理‖免费开放:cunlove.cn].mp4 file:[4.4.1]-4.4 Swarm Intelligence and Opti.mp4 file:#4.5.1#-html[资源精选‖更多关注:CunWorkNotes].pdf file:[4.3.1]-4.3 Optimization and Evolutionar.mp4 file:[4.2.2]-4.2 Local Search Algorithms(局部搜索.mp4 file:[9.3.1]-9.3 Why Different Perspectives(为.mp4 file:[9.4.1]-9.4 Three Perspectives on Machin.mp4 file:[9.2.1]-9.2 History of Machine Learning(.mp4 file:[9.5.1]-9.5 Applications and Terminologi.mp4 file:[7.3.1]-7.3 Representation using Logic(逻[优质合集‖免费获取:cunlove.cn].mp4 file:[7.5.1]-7.5 Bayesian Networks(贝叶斯网络).mp4 file:[7.2.1]-7.2 Knowledge Representation(知识表.mp4 file:[7.4.1]-7.4 Ontological Engineering(本体工程.mp4 file:[7.1.1]-7.1 Overview(概述).mp4 file:[6.5.1]-6.5 The Structure of Problems(问题.mp4 file:[6.2.1]-6.2 Constraint Propagation Infer.mp4 file:[6.3.1]-6.3 Backtracking Search for CSPs.mp4 file:[6.1.1]-6.1 Constraint Satisfaction Prob[耗时整理‖免费分享:cunlove.cn].mp4 file:[5.2.1]-5.2 Optimal Decisions in Games(博[更多精选‖公众号:CunWorkNotes 获取].mp4 file:[5.5.1]-5.5 Stochastic Games(随机博弈).mp4 file:[5.6.1]-5.6 Monte-Carlo Methods(蒙特卡洛方法).mp4 folder:165006_学堂在线 × 王文敏教授 - 人工智能原理与核心算法 folder:{10}-Part V Learning Chapter 10 Tasks folder:{2}-Part I Basics Chapter 2 Intellig folder:{4}-10.4 Ranking(排名) folder:{6}-10.6 Summary(小结) folder:{2}-10.2 Regression(回归) folder:{1}-10.1 Classification(分类) folder:{2}-11.2 Unsupervised Learning Parad folder:{1}-4.1 Overview(概述) folder:{1}-9.1 What is Machine Learning(什么是 folder:{3}-7.3 Representation using Logic(逻 folder:{4}-6.4 Local Search for CSPs(CPS局部搜 folder:{1}-6.1 Constraint Satisfaction Prob folder:{2}-5.2 Optimal Decisions in Games(博 folder:{3}-5.3 Alpha-Beta Pruning(Alpha-Bet folder:{4}-5.4 Imperfect Real-time Decision folder:{1}-8.1 Planning Problems(规划问题) folder:{4}-8.4 Real-World Planning(现实世界规划) folder:{3}-8.3 Planning and Scheduling(规划与调 folder:{5}-8.5 Decision-theoretic Planning( folder:{1}-2.1 Approaches for Artificial In folder:{3}-2.3 Task Environments (任务环境) folder:{5}-2.5 Category of Intelligent Agen folder:{2}-2.2 Rational Agents (理性主体) folder:{4}-2.4 Intelligent Agent Structure folder:{3}-1.3 History of Artificial Intell folder:{1}-12.1 Probabilistic Models(概率模型) folder:{4}-12.4 Networked Models(网络模型) 分享时间 2025-10-16 入库时间 2025-10-17 资源类型 夸克网盘 分享用户 23*跑的蜜饯 扫码获取资源 复制链接 进入网盘 分享资源