|
|
Sold Out
Book Categories |
| 1 | Introduction | 1 |
| 2 | Detection and classification | 13 |
| 3 | Parameter estimation | 45 |
| 4 | State estimation | 81 |
| 5 | Supervised learning | 139 |
| 6 | Feature extraction and selection | 183 |
| 7 | Unsupervised learning | 215 |
| 8 | State estimation in practice | 253 |
| 9 | Worked out examples | 309 |
| App. A | Topics selected from functional analysis | 353 |
| App. B | Topics selected from linear algebra and matrix theory | 367 |
| App. C | Probability theory | 383 |
| App. D | Discrete-time dynamic systems | 399 |
| App. E | Introduction to PRTools | 405 |
| App. F | MATLAB toolboxes used | 417 |
| Price | Condition | Delivery | Seller | Action |
| $113.70 | Digital |
| WonderClub |
Thomas Muccilli
reviewed Classification, Parameter Esti on July 13, 2008
Classification
I normally don't do this, but I'm going to copy/paste this review across three separate books: Chaitin's "The Unknowable", "The Limits of Mathematics", and "Exploring Randomness".
All three are all thin, overpriced, but very approachable books on Algorithmic Information Theory. Themes include:
- Undecidability, as the basis of formulating a new kind of randomness measure for numbers that have already been generated (not just restricting randomness measures to the processes that generate numbers).
- Chaitin's Omega constant, which is the probability that universal Turning machine will halt on random input. This constant is "maximally unknowable", but that doesn't stop one from performing math with it.
- Philosophy surrounding these topics.
One might underestimate Kolmogorov's contributions, given how ridiculously self-promoting Chaitin has been with this AIT. However, the topics are interesting enough that he's easy to forgive. And he uses many code demonstrations (LISP) to make concrete examples out of the math.
Login|Complaints|Blog|Games|Digital Media|Souls|Obituary|Contact Us|FAQ
CAN'T FIND WHAT YOU'RE LOOKING FOR? CLICK HERE!!! X
You must be logged in to add to WishlistX
This item is in your Wish List
X
This item is in your Collection
Classification, Parameter Esti
X
This Item is in Your Inventory
Classification, Parameter Esti
X
You must be logged in to review the productsX
X
X
Add Classification, Parameter Esti, Classification, Parameter Estimation and State Estimation is a practical guide for data analysts and designers of measurement systems and postgraduates students that are interested in advanced measurement systems using MATLAB. 'Prtools' is a powerf, Classification, Parameter Esti to the inventory that you are selling on WonderClubX
X
Add Classification, Parameter Esti, Classification, Parameter Estimation and State Estimation is a practical guide for data analysts and designers of measurement systems and postgraduates students that are interested in advanced measurement systems using MATLAB. 'Prtools' is a powerf, Classification, Parameter Esti to your collection on WonderClub |