1. Home
  2. E-Book
  3. Inductive Logic Programming: Theory and Methods

Inductive Logic Programming: Theory and Methods by Stephen Muggleton, Luc de Raedt

Inductive Logic Programming: Theory and Methods

Inductive Logic Programming: Theory and Methods by Stephen Muggleton, Luc de Raedt
Inductive Logic Programming: Theory and Methods by Stephen Muggleton, Luc de Raedt
Publisher: ScienceDirect 1994
Number of pages: 51
Inductive Logic Programming is a new discipline which investigates the inductive construction of first-order clausal theories from examples and background knowledge. The authors survey the most important theories and methods of this new field.
Computers & Internet Programming Computer Science Artificial Intelligence Machine Learning
Go To Read/Download Page
Home Page

More Free E-Books For Computer Science

Similar Books For Computer Science

1. Interacting with Presence by Giuseppe Riva
2. Automata and Rational Expressions by Jacques Sakarovitch
3. Crafting Interpreters: A handbook for making programming languages by Robert Nystrom
4. Refining the Concept of Scientific Inference When Working with Big Data by
5. GIS Commons: An Introductory Textbook on Geographic Information Systems by Michael Schmandt
6. Human Computer Confluence by Andrea Gaggioli, et al.
7. Nature of Geographic Information by David DiBiase
8. Global Library and Information Science by Ismail Abdullahi (ed.)
9. Databases, Types, and The Relational Model: The Third Manifesto by C.J. Date, Hugh Darwen
10. Logic and Automata: History and Perspectives by Jorg Flum (ed)
11. Elementary Algorithms by Larry LIU Xinyu
12. Applied Artificial Neural Networks by Christian Dawson
13. Database Explorations by C.J. Date, Hugh Darwen
14. Big Data on Real-World Applications by S. Ventura Soto, Jose M. Luna, Alberto Cano (eds)
15. Introduction to Computability Theory by Dag Normann
16. Search Engines: Information Retrieval in Practice by W.B. Croft, D. Metzler, T. Strohman
17. Information Systems Foundations: The Role of Design Science by Dennis Hart, Shirley Gregor
18. The Design and Implementation of Probabilistic Programming Languages by Noah D. Goodman, Andreas Stuhlmüller
19. The Security Development Lifecycle by Michael Howard, Steve Lipner
20. How Mobile Robots Can Self-organise a Vocabulary by Paul Vogt
21. Notes on Data Structures and Programming Techniques by James Aspnes
22. Introduction to Software Engineering by
23. Statistical Foundations of Machine Learning by Gianluca Bontempi, Souhaib Ben Taieb
24. Probabilistic Models in the Study of Language by Roger Levy
25. Computer Vision Metrics: Survey, Taxonomy, and Analysis by Scott Krig
26. Measures and Applications of Quantum Correlations by G. Adesso, T.R. Bromley, M. Cianciaruso
27. Python Scripting for Spatial Data Processing by Pete Bunting, Daniel Clewley
28. Information, Entropy and Their Geometric Structures by Frederic Barbaresco, Ali Mohammad-Djafari
29. Statistical Learning and Sequential Prediction by Alexander Rakhlin, Karthik Sridharan
30. Applications of ICT in Libraries by
31. Compiler Construction by William M. Waite, Gerhard Goos
32. Purely Functional Data Structures by Chris Okasaki
33. Quantum Information Meets Quantum Matter by Bei Zeng, et al.
34. Neural Network Design by Martin T. Hagan, et al.
35. Concrete Semantics: With Isabelle/HOL by Tobias Nipkow, Gerwin Klein
36. Bayesian Network by Ahmed Rebai (ed.)
37. Understanding Machine Learning: From Theory to Algorithms by Shai Shalev-Shwartz, Shai Ben-David
38. The Playful Machine by Ralf Der, Georg Martius
39. BIG CPU, BIG DATA: Solving the World's Toughest Problems with Parallel Computing by Alan Kaminsky
40. Spatial Thinking in Planning Practice: An Introduction to GIS by Y. Fang, V. Shandas, E. Arriaga Cordero
41. Deep Learning Tutorial by LISA lab
42. Thinking Networks: The Large and Small of it by Kieran Greer
43. Voice Communication with Computers: Conversational Systems by C. Schmandt
44. Professor Fris by 's Mostly Adequate Guide to Functional Programming
45. Anatomy of Programming Languages by William R. Cook
46. Programming and Programming Languages by Shriram Krishnamurthi
47. Models and Theories in Human-Computer Interaction by
48. Building the Second Mind: 1956 and the Origins of Artificial Intelligence Computing by Rebecca E. Skinner
49. Lecture Notes on Static Analysis by Michael I. Schwartzbach
50. Mastering the Information Age: Solving Problems With Visual Analytics by Daniel Keim, et al.

Free E-Books For Computers & Internet
Free E-Books For Programming
Free E-Books For Computer Science
Free E-Books For Artificial Intelligence
Free E-Books For Machine Learning



Categories