Stephen Muggleton's Book Chapters

     
    [1]
    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.

    [2]
    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.

    [3]
    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.

    [4]
    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.

    [5]
    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.

    [6]
    S.H. Muggleton and F. Marginean. Logic-based machine learning. In J. Minker, editor, Logic-Based Artificial Intelligence, pages 315-330. Kluwer, 2000.

    [7]
    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.

    [8]
    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.

    [9]
    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.

    [10]
    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.

    [11]
    S.H. Muggleton. Inverting entailment and Progol. In K. Furukawa, D. Michie, and S.H. Muggleton, editors, Machine Intelligence 14. Oxford University Press, 1995.

    [12]
    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.

    [13]
    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.

    [14]
    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.

    [15]
    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.

    [16]
    M. Bain and S.H. Muggleton. Non-monotonic learning. In D. Michie, editor, Machine Intelligence 12, pages 105-120. Oxford University Press, 1991.

    [17]
    S.H. Muggleton. Inverting the resolution principle. In Machine Intellience 12, pages 93-104. Oxford University Press, 1991.

    [18]
    S.H. Muggleton. Inductive acquisition of chess strategies. In Machine Intellience 11, pages 375-390. Oxford University Press, 1988.


    ML Group Home Page