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2008 | ||
---|---|---|

32 | Vítor Santos Costa,
David Page,
James Cussens:
CLP(BN): Constraint Logic Programming for Probabilistic Knowledge.
Probabilistic Inductive Logic Programming 2008: 156-188 | |

31 | James Cussens: Bayesian network learning by compiling to weighted MAX-SAT. UAI 2008: 105-112 | |

30 | Nicos Angelopoulos, James Cussens: Bayesian learning of Bayesian networks with informative priors. Ann. Math. Artif. Intell. 54(1-3): 53-98 (2008) | |

2007 | ||

29 | James Cussens: Model equivalence of PRISM programs. Probabilistic, Logical and Relational Learning - A Further Synthesis 2007 | |

2006 | ||

28 | Barnaby Fisher, James Cussens: Inductive Mercury Programming. ILP 2006: 199-213 | |

2005 | ||

27 | Nicos Angelopoulos, James Cussens: Tempering for Bayesian C&RT. ICML 2005: 17-24 | |

26 | Nicos Angelopoulos, James Cussens: Exploiting Informative Priors for Bayesian Classification and Regression Trees. IJCAI 2005: 641-646 | |

25 | Nicos Angelopoulos, James Cussens: Exploiting independence for branch operations in Bayesian learning of C&RTs. Probabilistic, Logical and Relational Learning 2005 | |

2004 | ||

24 | James Cussens: At the Interface of Inductive Logic Programming and Statistics. ILP 2004: 2-3 | |

2003 | ||

23 | Vítor Santos Costa, David Page, Maleeha Qazi, James Cussens: CLP(BN): Constraint Logic Programming for Probabilistic Knowledge. UAI 2003: 517-524 | |

2002 | ||

22 | James Cussens: Issues in Learning Language in Logic. Computational Logic: Logic Programming and Beyond 2002: 491-505 | |

2001 | ||

21 | Nicos Angelopoulos, James Cussens: Prolog Issues of an MCMC Algorithm. INAP 2001: 246-253 | |

20 | Nicos Angelopoulos, James Cussens: Prolog Issues and Experimental Results of an MCMC Algorithm. INAP (LNCS Volume) 2001: 186-196 | |

19 | Nicos Angelopoulos, James Cussens: Markov Chain Monte Carlo using Tree-Based Priors on Model Structure. UAI 2001: 16-23 | |

18 | James Cussens: Parameter Estimation in Stochastic Logic Programs. Machine Learning 44(3): 245-271 (2001) | |

2000 | ||

17 | James Cussens, Alan M. Frisch: Inductive Logic Programming, 10th International Conference, ILP 2000, Work-in-progress reports, London, UK, July 2000, Proceedings CEUR-WS.org 2000 | |

16 | James Cussens, Alan M. Frisch: Inductive Logic Programming, 10th International Conference, ILP 2000, London, UK, July 24-27, 2000, Proceedings Springer 2000 | |

15 | James Cussens, Saso Dzeroski: Learning Language in Logic Springer 2000 | |

14 | James Cussens: Stochastic Logic Programs: Sampling, Inference and Applications. UAI 2000: 115-122 | |

1999 | ||

13 | James Cussens, Saso Dzeroski, Tomaz Erjavec: Morphosyntactic Tagging of Slovene Using Progol. ILP 1999: 68-79 | |

12 | James Cussens, Stephen G. Pulman: Experiments in Inductive Chart Parsing. Learning Language in Logic 1999: 143-156 | |

11 | Saso Dzeroski, James Cussens, Suresh Manandhar: An Introduction to Inductive Logic Programming and Learning Language in Logic. Learning Language in Logic 1999: 3-35 | |

10 | James Cussens: Loglinear models for first-order probabilistic reasoning. UAI 1999: 126-133 | |

9 | Dan Geiger, James Cussens: Parameter Priors for Directed Acyclic Graphical Models and the Characteriration of Several Probability Distributions. UAI 1999: 216-225 | |

8 | James Cussens: Integrating Probabilistic and Logical Reasoning. Electron. Trans. Artif. Intell. 3(B): 79-103 (1999) | |

1998 | ||

7 | James Cussens: Using Prior Probabilities and Density Estimation for Relational Classification. ILP 1998: 106-115 | |

1997 | ||

6 | James Cussens: Part-of-Speech Tagging Using Progol. ILP 1997: 93-108 | |

1995 | ||

5 | James Cussens: A Bayesian Analysis of Algorithms for Learning Finite Functions. ICML 1995: 142-149 | |

1993 | ||

4 | James Cussens, Anthony Hunter, Ashwin Srinivasan: Generating Explicit Orderings for Non-monotonic Logics. AAAI 1993: 420-425 | |

3 | James Cussens: Bayes and Pseudo-Bayes Estimates of Conditional Probabilities and Their Reliability. ECML 1993: 136-152 | |

1992 | ||

2 | James Cussens, Anthony Hunter: Using Maximum Entropy in a Defeasible Logic with Probabilistic Semantics. IPMU 1992: 43-52 | |

1991 | ||

1 | James Cussens, Anthony Hunter: Using Defeasible Logic for a Window on a Probabilistic Database: Some Preliminary Notes. ECSQARU 1991: 146-152 |

1 | Nicos Angelopoulos | [19] [20] [21] [25] [26] [27] [30] |

2 | Vítor Santos Costa | [23] [32] |

3 | Saso Dzeroski | [11] [13] [15] |

4 | Tomaz Erjavec | [13] |

5 | Barnaby Fisher | [28] |

6 | Alan M. Frisch | [16] [17] |

7 | Dan Geiger | [9] |

8 | Anthony Hunter | [1] [2] [4] |

9 | Suresh Manandhar | [11] |

10 | C. David Page Jr. (David Page) | [23] [32] |

11 | Stephen G. Pulman | [12] |

12 | Maleeha Qazi | [23] |

13 | Ashwin Srinivasan | [4] |