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文件名称:Bayesian Reasoning and Machine Learning
文件大小:13.58MB
文件格式:PDF
更新时间:2015-01-19 10:38:17
机器学习 贝叶斯推理 图模型 动态模型
1: Probabilistic Reasoning
2: Basic Graph Concepts
3: Belief Networks
4: Graphical Models
5: Efficient Inference in Trees
6: The Junction Tree Algorithm
7: Making Decisions
8: Statistics for Machine Learning
9: Learning as Inference
10: Naive Bayes
11: Learning with Hidden Variables
12: Bayesian Model Selection
13: Machine Learning Concepts
14: Nearest Neighbour Classification
15: Unsupervised Linear Dimension Reduction
16: Supervised Linear Dimension Reduction
17: Linear Models
18: Bayesian Linear Models
19: Gaussian Processes
20: Mixture Models
21: Latent Linear Models
22: Latent Ability Models
23: Discrete-State Markov Models
24: Continuous-State Markov Models
25: Switching Linear Dynamical Systems
26: Distributed Computation
27: Sampling
28: Deterministic Approximate Inference
网友评论
- 非常不错的入门教材~
- 清晰不错,经典书籍,值得好好读
- 很经典的教材!
- 没有见过中文的
- 经典好书,不愿说更多了
- 经典好书,质量也很好。
- 看了下跟踪方面的内容,听不错得
- 很好,很清晰,是最新版的。
- 看了下跟踪方面的内容,听不错得
- 很好的,要是中文就更好
- 很好的教材,看过中文版的,这本英文版收藏了