人工智能原理 - 北京大学 - 学盘搜-大学生必备云盘搜索平台

  • file:Playlist.dpl
  • file:9.4.1 视频：Three Perspectives on Machine Learning.mp4
  • file:9.3.2 课件：Why Different Perspectives.pdf
  • file:9.1.1 视频：What is Machine Learning.mp4
  • file:9.2.1 视频：History of Machine Learning.mp4
  • file:9.5.1 视频：Applications and Terminologies.mp4
  • file:12.2.1 视频：Geometric Models.mp4
  • file:12.4.1 视频：Networked Models.mp4
  • file:12.1.2 课件：Probabilistic Models.pdf
  • file:12.3.2 课件：Logical Models.pdf
  • file:3.2.1 视频：Example Problems.mp4
  • file:3.5.3 视频2：A＊ Search&Iterative Deepening A＊ Search.mp4
  • file:3.5.2 课件1：Best-first Search&Greedy Search.pdf
  • file:3.3.1 视频：Searching for Solutions.mp4
  • file:3.1.2 课件：Problem Solving Agents.pdf
  • file:3.6.1 视频：Heuristic Functions.mp4
  • file:3.4.6 课件3：Depth-first Search.pdf
  • file:3.4.11 视频6：Comparing Uninformed Search Strategies.mp4
  • file:3.4.1 视频1：Breadth-first Search.mp4
  • file:3.4.9 视频5：Bidirectional Search.mp4
  • file:3.4.4 课件2：Uniform-cost Search.pdf
  • file:3.4.8 课件4：Variants of Depth-first Search.pdf
  • file:1.4.2 课件：The State of The Art.pdf
  • file:1.1.3 课件：Overview of Artificial Intelligence.pdf
  • file:1.1.1 视频：欢迎选修本课程.mp4
  • file:1.2.2 课件：Foundations of Artificial Intelligence.pdf
  • folder:人工智能原理 - 北京大学
  • folder:9 Part V. Learning： Chapter 9. Perspectives about Machine Leaning
  • folder:12 Part V. Learning： Chapter 12. Models in Machine Learning
  • folder:3 Part II. Searching： Chapter 3. Solving Problems by Search
  • folder:1 Part I. Basics： Chapter 1. Introduction
  • folder:4 Part II. Searching： Chapter 4. Local Search and Swarm Intelligence
  • folder:2 Part I. Basics： Chapter 2. Intelligent Agent
  • folder:8 Part IV. Planning： Chapter 8. Classic and Real-world Planning
  • folder:5 Part II. Searching： Chapter 5. Adversarial Search
  • folder:6 Part II. Searching： Chapter 6. Constraint Satisfaction Problem
  • folder:7 Part III. Reasoning： Chapter 7. Reasoning by Knowledge
  • folder:9.4 Three Perspectives on Machine Learning
  • folder:9.3 Why Different Perspectives
  • folder:9.1 What is Machine Learning
  • folder:9.2 History of Machine Learning
  • folder:9.5 Applications and Terminologies
  • folder:12.2 Geometric Models
  • folder:12.4 Networked Models
  • folder:12.1 Probabilistic Models
  • folder:12.3 Logical Models
  • folder:3.2 Example Problems
  • folder:3.5 Informed Search Strategies
  • folder:3.3 Searching for Solutions
  • folder:3.1 Problem Solving Agents
  • folder:3.6 Heuristic Functions
  • folder:1.4 The State of The Art
  • folder:1.1 Overview of Artificial Intelligence
  • folder:1.2 Foundations of Artificial Intelligence
  • folder:4.2 Local Search Algorithms
  • folder:4.3 Optimization and Evolutionary Algorithms
  • folder:4.1 Overview
  • folder:4.4 Swarm Intelligence and Optimization
  • folder:2.3 Task Environments
  • folder:2.5 Category of Intelligent Agents
  • folder:2.1 Approaches for Artificial Intelligence
  • folder:2.4 Intelligent Agent Structure
  • folder:2.2 Rational Agents
  • folder:8.5 Decision-theoretic Planning
  • folder:8.1 Planning Problems
  • folder:8.2 Classic Planning
  • folder:8.3 Planning and Scheduling
  • folder:8.4 Real-World Planning
  • folder:10.5 Dimensionality Reduction
  • folder:10.4 Ranking
  • folder:10.1 Classification
  • folder:10.3 Clustering
  • folder:10.2 Regression
  • folder:5.6 Monte-Carlo Methods
  • folder:5.2 Optimal Decisions in Games
  • folder:5.1 Games
  • folder:5.3 Alpha-Beta Pruning
  • folder:5.4 Imperfect Real-time Decisions
  • folder:5.5 Stochastic Games
  • folder:6.4 Local Search for CSPs
  • folder:6.2 Constraint Propagation： Inference in CSPs
  • folder:6.1 Constraint Satisfaction Problems (CSPs)
  • folder:6.5 The Structure of Problems
  • folder:6.3 Backtracking Search for CSPs
  • folder:11.2 Unsupervised Learning Paradigm
  • folder:11.4 Other Learning Paradigms
  • folder:11.3 Reinforcement Learning Paradigm
  • folder:7.5 Bayesian Networks
  • folder:7.3 Representation using Logic
  • folder:7.4 Ontological Engineering
  • folder:7.2 Knowledge Representation
分享时间 2024-04-24
入库时间 2024-04-24
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