Stephen Muggleton's Book Chapters
- [1]
- S.H. Muggleton and
W-Z. Dai.
Human-like computer vision.
In S.H. Muggleton and N. Chater, editors, Human-Like Machine
Intelligence, pages 199-217. Oxford University Press, 2021.
- [2]
- A.K.
Fidjeland, W. Luk, and S.H. Muggleton.
Customisable
multi-processor acceleration of inductive logic programming.
In Stephen H. Muggleton and H. Watanabe, editors, Latest Advances in
Inductive Logic Programming, pages 123-139. Imperial College Press,
2015.
- [3]
- R.J. Henderson and S.H. Muggleton.
Automatic
invention of functional abstractions.
In Stephen H. Muggleton and H. Watanabe, editors, Latest Advances in
Inductive Logic Programming, pages 217-224. Imperial College Press,
2015.
- [4]
- S.H. Muggleton
and C. Xu.
Can ILP learn
complete and correct game strategies?.
In Stephen H. Muggleton and H. Watanabe, editors, Latest Advances in
Inductive Logic Programming, pages 3-10. Imperial College Press,
2015.
- [5]
- N. Pahlavi and S.H. Muggleton.
Towards efficient
higher-order logic learning in a first-order datalog framework.
In Stephen H. Muggleton and H. Watanabe, editors, Latest Advances in
Inductive Logic Programming, pages 207-215. Imperial College Press,
2015.
- [6]
- D. Bohan, A. Raybould,
C. Mulder, G. Woodward, A. Tamaddoni-Nezhad, N. Bluthgen, M.J.O Pocock, S.H.
Muggleton, D.M. Evans, J. Astegiano, F. Massol, N. Loeuille, S. Petit, and
S. Macfadyen.
Networking
agroecology: Integrating the diversity of agroecosystem interactions.
In G. Woodward and D.A. Bohan, editors, Advances in Ecological Research,
Vol. 49, pages 2-67. Academic Press, Amsterdam, 2013.
- [7]
- A. Tamaddoni-Nezhad, G. Milani, A. Raybould, S.H. Muggleton, and
D. Bohan.
Construction
and validation of food webs using logic-based machine learning and text
mining.
In G. Woodward and D.A. Bohan, editors, Advances in Ecological Research,
Vol. 49, pages 224-290. Academic Press, Amsterdam, 2013.
- [8]
- J. Chen, L. Kelley,
S.H. Muggleton, and M.J.E. Sternberg.
Protein fold discovery using Stochastic Logic Programs.
In L. De Raedt, P. Frasconi, K. Kersting, and S.H. Muggleton, editors,
Probabilistic Inductive Logic Programming, pages 244-262.
Springer-Verlag, 2007.
- [9]
- S.H. Muggleton
and J. Chen.
Comparison of some probabilistic logic models.
In L. De Raedt, P. Frasconi, K. Kersting, and S.H. Muggleton, editors,
Probabilistic Inductive Logic Programming, pages 305-324.
Springer-Verlag, 2007.
- [10]
- S.H. Muggleton
and N. Pahlavi.
Stochastic logic programs: A tutorial.
In L. Getoor and B. Taskar, editors, Introduction to Statistical
Relational Learning, pages 323-338. MIT Press, 2007.
- [11]
- S.H. Muggleton,
H. Lodhi, A. Amini, and M.J.E. Sternberg.
Support Vector
Inductive Logic Programming.
In D.E. Holmes and L.C. Jain, editors, Innovations in Machine
Learning, pages 113-135. Springer-Verlag, 2006.
- [12]
- S.H.
Muggleton and J. Firth.
CProgol4.4: a
tutorial introduction.
In S. Dzeroski and N. Lavrac, editors, Relational Data Mining,
pages 160-188. Springer-Verlag, 2001.
- [13]
- S.H.
Muggleton and F. Marginean.
Logic-based machine
learning.
In J. Minker, editor, Logic-Based Artificial Intelligence, pages
315-330. Kluwer, 2000.
- [14]
- S.H. Muggleton.
Inductive Logic
Programming.
In Robert A. Wilson and Frank C. Keil, editors, The MIT Encyclopedia of
the Cognitive Sciences (MITECS). MIT Press, 1999.
- [15]
- S.H. Muggleton
and D. Page.
A learnability model
for universal representations and its application to top-down induction of
decision trees.
In K. Furukawa, D. Michie, and S.H. Muggleton, editors, Machine
Intelligence 15. Oxford University Press, 1999.
- [16]
- I. Bratko, S.H.
Muggleton, and A. Karalic.
Applications of Inductive Logic Programming.
In R.S. Michalski, I. Bratko, and M. Kubat, editors, Machine Learning and
Data Mining. John Wiley and Sons Ltd., Chichester, 1998.
- [17]
- R. Parson and
S.H. Muggleton.
An experiment with
browsers that learn.
In K. Furukawa, D. Michie, and S.H. Muggleton, editors, Machine
Intelligence 15. Oxford University Press, 1998.
- [18]
- S.H. Muggleton.
Inverting entailment and Progol.
In K. Furukawa, D. Michie, and S.H. Muggleton, editors, Machine
Intelligence 14. Oxford University Press, 1995.
- [19]
- S.H. Muggleton.
Logic and learning:
Turing's legacy.
In K. Furukawa, D. Michie, and S.H. Muggleton, editors, Machine
Intelligence 13, pages 37-56. Oxford University Press, 1994.
- [20]
- A. Srinivasan, S.H.
Muggleton, and M. Bain.
The justification
of logical theories based on data compression.
In K. Furukawa, D. Michie, and S.H. Muggleton, editors, Machine
Intelligence 13, pages 87-121. Oxford University Press, 1994.
- [21]
- M.J.E.
Sternberg, J. Hirst, R. Lewis, R.D. King, A. Srinivasan, and S.H. Muggleton.
Application of machine learning to protein structure prediction and drug
design.
In S. Schulze-Kremer, editor, Advances in Molecular
Bioinformatics, pages 1-8. IOS Press, 1994.
- [22]
- B. Dolsak and
S.H. Muggleton.
The application of
Inductive Logic Programming to finite element mesh design.
In S.H. Muggleton, editor, Inductive Logic Programming, pages
453-472. Academic Press, London, 1992.
- [23]
- M. Bain and
S.H. Muggleton.
Non-monotonic
learning.
In D. Michie, editor, Machine Intelligence 12, pages 105-120.
Oxford University Press, 1991.
- [24]
- S.H. Muggleton.
Inverting the
resolution principle.
In Machine Intellience 12, pages 93-104. Oxford University Press,
1991.
- [25]
- S.H. Muggleton.
Inductive acquisition of chess strategies.
In Machine Intellience 11, pages 375-390. Oxford University
Press, 1988.