The SCEAS System
Navigation Menu
Introduction
Collection Based
Clustering
Ranking
Paper Based
Journals
Conferences
DB Status
Statistics
Search

Search the dblp DataBase

Title:
Author:
James Cussens: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. James Cussens, Anthony Hunter, Ashwin Srinivasan
    Generating Explicit Orderings for Non-monotonic Logics. [Citation Graph (0, 0)][DBLP]
    AAAI, 1993, pp:420-425 [Conf]
  2. James Cussens
    Issues in Learning Language in Logic. [Citation Graph (0, 0)][DBLP]
    Computational Logic: Logic Programming and Beyond, 2002, pp:491-505 [Conf]
  3. Nicos Angelopoulos, James Cussens
    Exploiting independence for branch operations in Bayesian learning of C&RTs. [Citation Graph (0, 0)][DBLP]
    Probabilistic, Logical and Relational Learning, 2005, pp:- [Conf]
  4. James Cussens
    Bayes and Pseudo-Bayes Estimates of Conditional Probabilities and Their Reliability. [Citation Graph (0, 0)][DBLP]
    ECML, 1993, pp:136-152 [Conf]
  5. James Cussens, Anthony Hunter
    Using Defeasible Logic for a Window on a Probabilistic Database: Some Preliminary Notes. [Citation Graph (0, 0)][DBLP]
    ECSQARU, 1991, pp:146-152 [Conf]
  6. Nicos Angelopoulos, James Cussens
    Tempering for Bayesian C&RT. [Citation Graph (0, 0)][DBLP]
    ICML, 2005, pp:17-24 [Conf]
  7. James Cussens
    A Bayesian Analysis of Algorithms for Learning Finite Functions. [Citation Graph (0, 0)][DBLP]
    ICML, 1995, pp:142-149 [Conf]
  8. Nicos Angelopoulos, James Cussens
    Exploiting Informative Priors for Bayesian Classification and Regression Trees. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2005, pp:641-646 [Conf]
  9. James Cussens
    At the Interface of Inductive Logic Programming and Statistics. [Citation Graph (0, 0)][DBLP]
    ILP, 2004, pp:2-3 [Conf]
  10. James Cussens
    Part-of-Speech Tagging Using Progol. [Citation Graph (0, 0)][DBLP]
    ILP, 1997, pp:93-108 [Conf]
  11. James Cussens
    Using Prior Probabilities and Density Estimation for Relational Classification. [Citation Graph (0, 0)][DBLP]
    ILP, 1998, pp:106-115 [Conf]
  12. James Cussens, Saso Dzeroski, Tomaz Erjavec
    Morphosyntactic Tagging of Slovene Using Progol. [Citation Graph (0, 0)][DBLP]
    ILP, 1999, pp:68-79 [Conf]
  13. Nicos Angelopoulos, James Cussens
    Prolog Issues of an MCMC Algorithm. [Citation Graph (0, 0)][DBLP]
    INAP, 2001, pp:246-253 [Conf]
  14. Nicos Angelopoulos, James Cussens
    Prolog Issues and Experimental Results of an MCMC Algorithm. [Citation Graph (0, 0)][DBLP]
    INAP (LNCS Volume), 2001, pp:186-196 [Conf]
  15. James Cussens, Anthony Hunter
    Using Maximum Entropy in a Defeasible Logic with Probabilistic Semantics. [Citation Graph (0, 0)][DBLP]
    IPMU, 1992, pp:43-52 [Conf]
  16. James Cussens, Stephen G. Pulman
    Experiments in Inductive Chart Parsing. [Citation Graph (0, 0)][DBLP]
    Learning Language in Logic, 1999, pp:143-156 [Conf]
  17. Saso Dzeroski, James Cussens, Suresh Manandhar
    An Introduction to Inductive Logic Programming and Learning Language in Logic. [Citation Graph (0, 0)][DBLP]
    Learning Language in Logic, 1999, pp:3-35 [Conf]
  18. Nicos Angelopoulos, James Cussens
    Markov Chain Monte Carlo using Tree-Based Priors on Model Structure. [Citation Graph (0, 0)][DBLP]
    UAI, 2001, pp:16-23 [Conf]
  19. Vítor Santos Costa, David Page, Maleeha Qazi, James Cussens
    CLP(BN): Constraint Logic Programming for Probabilistic Knowledge. [Citation Graph (0, 0)][DBLP]
    UAI, 2003, pp:517-524 [Conf]
  20. James Cussens
    Stochastic Logic Programs: Sampling, Inference and Applications. [Citation Graph (0, 0)][DBLP]
    UAI, 2000, pp:115-122 [Conf]
  21. James Cussens
    Loglinear models for first-order probabilistic reasoning. [Citation Graph (0, 0)][DBLP]
    UAI, 1999, pp:126-133 [Conf]
  22. Dan Geiger, James Cussens
    Parameter Priors for Directed Acyclic Graphical Models and the Characteriration of Several Probability Distributions. [Citation Graph (0, 0)][DBLP]
    UAI, 1999, pp:216-225 [Conf]
  23. James Cussens
    Integrating Probabilistic and Logical Reasoning. [Citation Graph (0, 0)][DBLP]
    Electron. Trans. Artif. Intell., 1999, v:3, n:B, pp:79-103 [Journal]
  24. James Cussens
    Parameter Estimation in Stochastic Logic Programs. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2001, v:44, n:3, pp:245-271 [Journal]
  25. Barnaby Fisher, James Cussens
    Inductive Mercury Programming. [Citation Graph (0, 0)][DBLP]
    ILP, 2006, pp:199-213 [Conf]

  26. Model equivalence of PRISM programs. [Citation Graph (, )][DBLP]


  27. Instruction Cache Prediction Using Bayesian Networks. [Citation Graph (, )][DBLP]


  28. CLP(BN): Constraint Logic Programming for Probabilistic Knowledge. [Citation Graph (, )][DBLP]


  29. Bayesian network learning by compiling to weighted MAX-SAT. [Citation Graph (, )][DBLP]


  30. Searching a Multivariate Partition Space Using MAX-SAT. [Citation Graph (, )][DBLP]


  31. Bayesian learning of Bayesian networks with informative priors. [Citation Graph (, )][DBLP]


Search in 0.002secs, Finished in 0.323secs
NOTICE1
System may not be available sometimes or not working properly, since it is still in development with continuous upgrades
NOTICE2
The rankings that are presented on this page should NOT be considered as formal since the citation info is incomplete in DBLP
 
Introduction Collection Based Clustering Ranking Paper Based Journals Conferences DB Status Statistics Search
System created by asidirop@csd.auth.gr [http://users.auth.gr/~asidirop/] © 2002
for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002