James Cussens

	2012
39		James Cussens: Bayesian network learning with cutting planes CoRR abs/1202.3713: (2012)
	2011
38		Mark Bartlett, Iain Bate, James Cussens, Dimitar Kazakov: Probabilistic Instruction Cache Analysis Using Bayesian Networks. RTCSA (1) 2011: 233-242
37		James Cussens: Bayesian network learning with cutting planes. UAI 2011: 153-160
	2010
36		Mark Bartlett, Iain Bate, James Cussens: Instruction Cache Prediction Using Bayesian Networks. ECAI 2010: 1099-1100
35		Mark Bartlett, Iain Bate, James Cussens: Learning Bayesian Networks for Improved Instruction Cache Analysis. ICMLA 2010: 417-423
34		James Cussens: Approximate Bayesian Computation for the Parameters of PRISM Programs. ILP 2010: 38-46
33		James Cussens: Induction. Encyclopedia of Machine Learning 2010: 519-522
	2009
32		Silvia Liverani, James Cussens, Jim Q. Smith: Searching a Multivariate Partition Space Using MAX-SAT. CIBB 2009: 240-253
	2008
31		Vítor Santos Costa, David Page, James Cussens: CLP(BN): Constraint Logic Programming for Probabilistic Knowledge. Probabilistic Inductive Logic Programming 2008: 156-188
30		James Cussens: Bayesian network learning by compiling to weighted MAX-SAT. UAI 2008: 105-112
29		Nicos Angelopoulos, James Cussens: Bayesian learning of Bayesian networks with informative priors. Ann. Math. Artif. Intell. 54(1-3): 53-98 (2008)
	2007
28		James Cussens: Model equivalence of PRISM programs. Probabilistic, Logical and Relational Learning - A Further Synthesis 2007
	2006
27		Barnaby Fisher, James Cussens: Inductive Mercury Programming. ILP 2006: 199-213
	2005
26		Nicos Angelopoulos, James Cussens: Tempering for Bayesian C&RT. ICML 2005: 17-24
25		Nicos Angelopoulos, James Cussens: Exploiting Informative Priors for Bayesian Classification and Regression Trees. IJCAI 2005: 641-646
24		Nicos Angelopoulos, James Cussens: Exploiting independence for branch operations in Bayesian learning of C&RTs. Probabilistic, Logical and Relational Learning 2005
	2004
23		James Cussens: At the Interface of Inductive Logic Programming and Statistics. ILP 2004: 2-3
	2003
22		Vítor Santos Costa, David Page, Maleeha Qazi, James Cussens: CLP(BN): Constraint Logic Programming for Probabilistic Knowledge. UAI 2003: 517-524
	2002
21		James Cussens: Issues in Learning Language in Logic. Computational Logic: Logic Programming and Beyond 2002: 491-505
	2001
20		Nicos Angelopoulos, James Cussens: Prolog Issues of an MCMC Algorithm. INAP 2001: 246-253
19		Nicos Angelopoulos, James Cussens: Prolog Issues and Experimental Results of an MCMC Algorithm. INAP (LNCS Volume) 2001: 186-196
18		Nicos Angelopoulos, James Cussens: Markov Chain Monte Carlo using Tree-Based Priors on Model Structure. UAI 2001: 16-23
17		James Cussens: Parameter Estimation in Stochastic Logic Programs. Machine Learning 44(3): 245-271 (2001)
	2000
16		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
15		James Cussens, Alan M. Frisch: Inductive Logic Programming, 10th International Conference, ILP 2000, London, UK, July 24-27, 2000, Proceedings Springer 2000
14		James Cussens, Saso Dzeroski: Learning Language in Logic Springer 2000
13		James Cussens: Stochastic Logic Programs: Sampling, Inference and Applications. UAI 2000: 115-122
	1999
12		James Cussens, Saso Dzeroski, Tomaz Erjavec: Morphosyntactic Tagging of Slovene Using Progol. ILP 1999: 68-79
11		James Cussens, Stephen G. Pulman: Experiments in Inductive Chart Parsing. Learning Language in Logic 1999: 143-156
10		Saso Dzeroski, James Cussens, Suresh Manandhar: An Introduction to Inductive Logic Programming and Learning Language in Logic. Learning Language in Logic 1999: 3-35
9		James Cussens: Loglinear models for first-order probabilistic reasoning. UAI 1999: 126-133
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

Coauthor Index

1	Nicos Angelopoulos	[18] [19] [20] [24] [25] [26] [29]
2	Mark Bartlett	[35] [36] [38]
3	Iain Bate (I. J. Bate)	[35] [36] [38]
4	Vítor Santos Costa	[22] [31]
5	Saso Dzeroski	[10] [12] [14]
6	Tomaz Erjavec	[12]
7	Barnaby Fisher	[27]
8	Alan M. Frisch	[15] [16]
9	Anthony Hunter	[1] [2] [4]
10	Dimitar Kazakov	[38]
11	Silvia Liverani	[32]
12	Suresh Manandhar	[10]
13	C. David Page Jr. (David Page)	[22] [31]
14	Stephen G. Pulman	[11]
15	Maleeha Qazi	[22]
16	Jim Q. Smith	[32]
17	Ashwin Srinivasan	[4]

Colors in the list of coauthors

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