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- file:[6.5.1]--6.5 The Structure of Problems(问题.mp4
- file:(6.5.1)--asset-v1_PekingX+20180320001+201.pdf
- file:[6.2.1]--6.2 Constraint Propagation Infer.mp4
- file:[6.3.1]--6.3 Backtracking Search for CSPs.mp4
- file:#6.6.1#--html.pdf
- file:[6.1.1]--6.1 Constraint Satisfaction Prob【耗时整理‖免费分享:cunlove.cn】.mp4
- file:[11.4.1]--11.4 Other Learning Paradigms(其他.mp4
- file:[11.3.1]--11.3 Reinforcement Learning Para.mp4
- file:[11.2.1]--11.2 Unsupervised Learning Parad【手动整理‖免费开放:cunlove.cn】.mp4
- file:[12.4.1]--12.4 Networked Models(网络模型)【花费时间‖免费获取:cunlove.cn】.mp4
- file:[12.1.1]--12.1 Probabilistic Models(概率模型).mp4
- file:[10.3.1]--10.3 Clustering(聚类).mp4
- file:[10.5.1]--10.5 Dimensionality Reduction(降维.mp4
- file:#10.6.1#--html【良心整理‖免费获取:cunlove.cn】.pdf
- file:[10.4.1]--10.4 Ranking(排名)【整理不易‖记得关注:CunWorkNotes】.mp4
- file:[5.2.1]--5.2 Optimal Decisions in Games(博【更多精选‖公众号:CunWorkNotes 获取】.mp4
- file:[5.6.1]--5.6 Monte-Carlo Methods(蒙特卡洛方法).mp4
- file:[5.5.1]--5.5 Stochastic Games(随机博弈).mp4
- file:[5.4.1]--5.4 Imperfect Real-time Decision.mp4
- file:[5.3.1]--5.3 Alpha-Beta Pruning(Alpha-Bet【持续更新‖免费提供:cunlove.cn】.mp4
- folder:人工智能原理
- folder:{6}--Part II Searching Chapter 6 Cons
- folder:{2}--Part I Basics Chapter 2 Intellig
- folder:{6}--6.6 Summary(小结)
- folder:{4}--6.4 Local Search for CSPs(CPS局部搜
- folder:{1}--6.1 Constraint Satisfaction Prob
- folder:{1}--11.1 Supervised Learning Paradig
- folder:{2}--12.2 Geometric Models(几何模型)
- folder:{2}--10.2 Regression(回归)
- folder:{1}--10.1 Classification(分类)
- folder:{2}--5.2 Optimal Decisions in Games(博
- folder:{3}--5.3 Alpha-Beta Pruning(Alpha-Bet
- folder:{1}--5.1 Games(博弈)
- folder:{1}--8.1 Planning Problems(规划问题)
- folder:{2}--8.2 Classic Planning(经典规划)
- folder:{3}--8.3 Planning and Scheduling(规划与调
- folder:{5}--8.5 Decision-theoretic Planning(
- folder:{3}--3.3 Searching for Solutions(通过搜索
- folder:{4}--3.4 Uninformed Search Strategies
- folder:{1}--3.1 Problem Solving Agents(问题求解A
- folder:{6}--3.6 Heuristic Functions(启发式函数)
- folder:{2}--2.2 Rational Agents (理性主体)
- folder:{4}--2.4 Intelligent Agent Structure
- folder:{3}--2.3 Task Environments (任务环境)
- folder:{5}--2.5 Category of Intelligent Agen
- folder:{1}--2.1 Approaches for Artificial In
- folder:{5}--7.5 Bayesian Networks(贝叶斯网络)
- folder:{3}--7.3 Representation using Logic(逻
- folder:{2}--7.2 Knowledge Representation(知识表
- folder:{4}--7.4 Ontological Engineering(本体工程
- folder:{4}--9.4 Three Perspectives on Machin
- folder:{1}--9.1 What is Machine Learning(什么是
- folder:{5}--9.5 Applications and Terminologi
- folder:{3}--9.3 Why Different Perspectives(为
- folder:{4}--4.4 Swarm Intelligence and Optim
- folder:{3}--4.3 Optimization and Evolutionar
- folder:{3}--1.3 History of Artificial Intell
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