- David J.C. MacKay. Information Theory, Inference, and Learning Algorithms.
- Radford M. Neal. Probabilistic Inference Using Markov Chain Monte Carlo Methods.
Subscribe to:
Post Comments (Atom)
skip to main |
skip to sidebar
I write my learning notes, record my ideas, and document my works here, so I can search them conveniently using Google's search technology.
About Me
- Yi Wang
- Beijing, China
- I am an engineer working on large-scale parallel machine learning and data mining. This Blog records my learning& working notes. For a Blog on my daily life, you may want to have a look at http://cxwangyi.spaces.msn.com.
Blog Archive
-
▼
2008
(29)
-
▼
December
(20)
- Stochastic Sampling
- iPhone 和 gPhone 之比较 —— Android 恐怕将战胜 iPhone
- Some Free But Excellent Books
- Some C++ Trickes
- Reading Teh's Slides on Dirichlet Process
- Interesting Papers in NIPS 2008
- The Trace of China's Development
- A Review on Attribute or Summarization Extraction
- Hidden Markov Model, Maximum Entropy Hidden Markov...
- A Latent Topic Model for Domain-Specific Attribute...
- Tutorials on Conditional Random Fields by Andrew M...
- Multi-vocabulary LDA and Feature Weighting
- Inference in Finite Mixture Models by Gibbs Sampli...
- A Constructive Derivation of the Sum-Product Algor...
- Some Questions about LDA with Partial Answers
- Unoctify --- Decode Octals in Text
- The Highly Efficient AllReduce in MPICH2
- Distributed Inference of LDA using Expectation-Pro...
- Identify Domain-Specific Words
- Key Points about the Sum-Product Algorithm
-
▼
December
(20)
No comments:
Post a Comment