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Book Categories |
| 1 | Introducing the minimum description length principle | 3 |
| 2 | Minimum description length tutorial | 23 |
| 3 | MDL, Bayesian inference, and the geometry of the space of probability distributions | 81 |
| 4 | Hypothesis testing for Poisson vs. geometric distributions using stochastic complexity | 99 |
| 5 | Applications of MDL to selected families of models | 125 |
| 6 | Algorithmic statistics and Kolmogorov's structure functions | 151 |
| 7 | Exact minimax predictive density estimation and MDL | 177 |
| 8 | The contribution of parameters to stochastic complexity | 195 |
| 9 | Extended stochastic complexity and its applications to learning | 215 |
| 10 | Kolmogorov's structure function in MDL theory and lossy data compression | 245 |
| 11 | Minimum message length and generalized Bayesian nets with asymmetric languages | 265 |
| 12 | Simultaneous clustering and subset selection via MDL | 295 |
| 13 | An MDL framework for data clustering | 323 |
| 14 | Minimum description length and psychological clustering models | 355 |
| 15 | A minimum description length principle for perception | 385 |
| 16 | Minimum description length and cognitive modeling | 411 |
| Price | Condition | Delivery | Seller | Action |
| $99.99 | Digital |
| WonderClub |
Susan Desiato
reviewed Advances in Minimum Description Length: Theory and Applications on January 31, 2010
Advances in Minimum Description Length: Theory and Applications
For those who are interested in machine learning.
very technical introductions, but not totally unapproachable. the content is more like a collection of papers about certain topics, and very comprehensive at it too.
feel free to jump from a chapter to another, or skip some chapters, there's no continuation between chapters anyway.
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Add Advances in Minimum Description Length: Theory and Applications, The process of inductive inference — to infer general laws and principles from particular instances — is the basis of statistical modeling, pattern recognition, and machine learning. The Minimum Descriptive Length (MDL) principle, a powerful method of ind, Advances in Minimum Description Length: Theory and Applications to the inventory that you are selling on WonderClubX
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Add Advances in Minimum Description Length: Theory and Applications, The process of inductive inference — to infer general laws and principles from particular instances — is the basis of statistical modeling, pattern recognition, and machine learning. The Minimum Descriptive Length (MDL) principle, a powerful method of ind, Advances in Minimum Description Length: Theory and Applications to your collection on WonderClub |
