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## Search the dblp DataBase
James Cussens:
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## Publications of Author- James Cussens, Anthony Hunter, Ashwin Srinivasan
**Generating Explicit Orderings for Non-monotonic Logics.**[Citation Graph (0, 0)][DBLP] AAAI, 1993, pp:420-425 [Conf] - James Cussens
**Issues in Learning Language in Logic.**[Citation Graph (0, 0)][DBLP] Computational Logic: Logic Programming and Beyond, 2002, pp:491-505 [Conf] - 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] - James Cussens
**Bayes and Pseudo-Bayes Estimates of Conditional Probabilities and Their Reliability.**[Citation Graph (0, 0)][DBLP] ECML, 1993, pp:136-152 [Conf] - 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] - Nicos Angelopoulos, James Cussens
**Tempering for Bayesian C&RT.**[Citation Graph (0, 0)][DBLP] ICML, 2005, pp:17-24 [Conf] - James Cussens
**A Bayesian Analysis of Algorithms for Learning Finite Functions.**[Citation Graph (0, 0)][DBLP] ICML, 1995, pp:142-149 [Conf] - Nicos Angelopoulos, James Cussens
**Exploiting Informative Priors for Bayesian Classification and Regression Trees.**[Citation Graph (0, 0)][DBLP] IJCAI, 2005, pp:641-646 [Conf] - James Cussens
**At the Interface of Inductive Logic Programming and Statistics.**[Citation Graph (0, 0)][DBLP] ILP, 2004, pp:2-3 [Conf] - James Cussens
**Part-of-Speech Tagging Using Progol.**[Citation Graph (0, 0)][DBLP] ILP, 1997, pp:93-108 [Conf] - James Cussens
**Using Prior Probabilities and Density Estimation for Relational Classification.**[Citation Graph (0, 0)][DBLP] ILP, 1998, pp:106-115 [Conf] - James Cussens, Saso Dzeroski, Tomaz Erjavec
**Morphosyntactic Tagging of Slovene Using Progol.**[Citation Graph (0, 0)][DBLP] ILP, 1999, pp:68-79 [Conf] - Nicos Angelopoulos, James Cussens
**Prolog Issues of an MCMC Algorithm.**[Citation Graph (0, 0)][DBLP] INAP, 2001, pp:246-253 [Conf] - 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] - 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] - James Cussens, Stephen G. Pulman
**Experiments in Inductive Chart Parsing.**[Citation Graph (0, 0)][DBLP] Learning Language in Logic, 1999, pp:143-156 [Conf] - 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] - 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] - 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] - James Cussens
**Stochastic Logic Programs: Sampling, Inference and Applications.**[Citation Graph (0, 0)][DBLP] UAI, 2000, pp:115-122 [Conf] - James Cussens
**Loglinear models for first-order probabilistic reasoning.**[Citation Graph (0, 0)][DBLP] UAI, 1999, pp:126-133 [Conf] - 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] - 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] - James Cussens
**Parameter Estimation in Stochastic Logic Programs.**[Citation Graph (0, 0)][DBLP] Machine Learning, 2001, v:44, n:3, pp:245-271 [Journal] - Barnaby Fisher, James Cussens
**Inductive Mercury Programming.**[Citation Graph (0, 0)][DBLP] ILP, 2006, pp:199-213 [Conf] **Model equivalence of PRISM programs.**[Citation Graph (, )][DBLP]**Instruction Cache Prediction Using Bayesian Networks.**[Citation Graph (, )][DBLP]**CLP(**[Citation Graph (, )][DBLP]*BN*): Constraint Logic Programming for Probabilistic Knowledge.**Bayesian network learning by compiling to weighted MAX-SAT.**[Citation Graph (, )][DBLP]**Searching a Multivariate Partition Space Using MAX-SAT.**[Citation Graph (, )][DBLP]**Bayesian learning of Bayesian networks with informative priors.**[Citation Graph (, )][DBLP]
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