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]
- Alireza
Tamaddoni‐Nezhad, Dianhuan Lin, Hiroaki Watanabe, Jianzhong Chen, and
Stephen Muggleton.
Machine learning of
biological networks using abductive ILP.
In Katsumi Inoue Luis Fariñas del Cerro, editor, Logical Modeling of
Biological Systems, pages 363-401. Wiley, Bognor Regis, 2014.
- [7]
- 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.
- [8]
- 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.
- [9]
- 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.
- [10]
- 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.
- [11]
- 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.
- [12]
- 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.
- [13]
- 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.
- [14]
- S.H.
Muggleton and F. Marginean.
Logic-based machine
learning.
In J. Minker, editor, Logic-Based Artificial Intelligence, pages
315-330. Kluwer, 2000.
- [15]
- 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.
- [16]
- 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.
- [17]
- 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.
- [18]
- 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.
- [19]
- S.H. Muggleton.
Inverting entailment and Progol.
In K. Furukawa, D. Michie, and S.H. Muggleton, editors, Machine
Intelligence 14. Oxford University Press, 1995.
- [20]
- 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.
- [21]
- 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.
- [22]
- 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.
- [23]
- 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.
- [24]
- M. Bain and
S.H. Muggleton.
Non-monotonic
learning.
In D. Michie, editor, Machine Intelligence 12, pages 105-120.
Oxford University Press, 1991.
- [25]
- S.H. Muggleton.
Inverting the
resolution principle.
In Machine Intellience 12, pages 93-104. Oxford University Press,
1991.
- [26]
- S.H. Muggleton.
Inductive acquisition of chess strategies.
In Machine Intellience 11, pages 375-390. Oxford University
Press, 1988.
