|
|
Sold Out
Book Categories |
Introduction
Probabilistic Inductive Logic Programming Luc De Raedt Kristian Kersting 1
Formalisms and Systems
Relational Sequence Learning Kristian Kersting Luc De Raedt Bernd Gutmann Andreas Karwath Niels Landwehr 28
Learning with Kernels and Logical Representations Paolo Frasconi Andrea Passerini 56
Markov Logic Pedro Domingos Stanley Kok Daniel Lowd Hoifung Poon Matthew Richardson Parag Singla 92
New Advances in Logic-Based Probabilistic Modeling by PRISM Taisuke Sato Yoshitaka Kameya 118
CLP(BN): Constraint Logic Programming for Probabilistic Knowledge Vitor Santos Costa David Page James Cussens 156
Basic Principles of Learning Bayesian Logic Programs Kristian Kersting Luc De Raedt 189
The Independent Choice Logic and Beyond David Poole 222
Applications
Protein Fold Discovery Using Stochastic Logic Programs Jianzhong Chen Lawrence Kelley Stephen Muggleton Michael Sternberg 244
Probabilistic Logic Learning from Haplotype Data Niels Landwehr Taneli Mielikainen 263
Model Revision from Temporal Logic Properties in Computational Systems Biology Francois Fages Sylvain Soliman 287
Theory
A Behavioral Comparison of Some Probabilistic Logic Models Stephen Muggleton Jianzhong Chen 305
Model-Theoretic Expressivity Analysis Manfred Jaeger 325
Author Index 341
| Price | Condition | Delivery | Seller | Action |
| $99.99 | Digital |
| WonderClub |
Donna Ingram
reviewed Probabilistic Inductive Logic Programming on February 03, 2013
Probabilistic Inductive Logic Programming
This has to be the best book I have ever read on beginning programming. It actually teaches you as if you have never done programming before, what a new concept for a beginning programming book right? Every other beginners book I have read seemed to think that people just learning, where born writing If Then statement, counting in binary and turning their shopping lists into arrays.
I hate to break it to authors, but the average beginner doesn't even know what I just said. (This are just programming techniques and word, that you really don't need to know about unless you are learning programming, for all those unfortunate people like myself who where not born with this knowledge).
So if you want to learn programming, and didn't grow up fixing bugs on Windows yourself, this is the book to read.
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
Probabilistic Inductive Logic Programming
X
This Item is in Your Inventory
Probabilistic Inductive Logic Programming
X
You must be logged in to review the productsX
X
X
Add Probabilistic Inductive Logic Programming, The question, how to combine probability and logic with learning, is getting an increased attention in several disciplines such as knowledge representation, reasoning about uncertainty, data mining, and machine learning simulateously. This results in the , Probabilistic Inductive Logic Programming to the inventory that you are selling on WonderClubX
X
Add Probabilistic Inductive Logic Programming, The question, how to combine probability and logic with learning, is getting an increased attention in several disciplines such as knowledge representation, reasoning about uncertainty, data mining, and machine learning simulateously. This results in the , Probabilistic Inductive Logic Programming to your collection on WonderClub |