Robert Castelo

	2012
14		Inma Tur, Robert Castelo: Learning mixed graphical models from data with p larger than n CoRR abs/1202.3765: (2012)
	2011
13		Inma Tur, Robert Castelo: Learning mixed graphical models from data with p larger than n. UAI 2011: 689-697
	2006
12		Robert Castelo, Alberto Roverato: A Robust Procedure For Gaussian Graphical Model Search From Microarray Data With p Larger Than n. Journal of Machine Learning Research 6: 2621-2650 (2006)
	2005
11		Eduardo Eyras, Alexandre Reymond, Robert Castelo, Jacqueline M. Bye, Francisco Camara, Paul Flicek, Elizabeth J. Huckle, Genis Parra, David D. Shteynberg, Carine Wyss, Jane Rogers, Stylianos E. Antonarakis, Ewan Birney, Roderic Guigó, Michael R. Brent: Gene finding in the chicken genome. BMC Bioinformatics 6: 131 (2005)
	2004
10		Robert Castelo, Roderic Guigó: Splice site identification by idlBNs. ISMB/ECCB (Supplement of Bioinformatics) 2004: 69-76
	2003
9		Robert Castelo, Nicholas C. Wormald: Enumeration of P 4-Free Chordal Graphs. Graphs and Combinatorics 19(4): 467-474 (2003)
8		Robert Castelo, Tomás Kocka: On Inclusion-Driven Learning of Bayesian Networks. Journal of Machine Learning Research 4: 527-574 (2003)
7		Paolo Giudici, Robert Castelo: Improving Markov Chain Monte Carlo Model Search for Data Mining. Machine Learning 50(1-2): 127-158 (2003)
	2002
6		Bart Baesens, Michael Egmont-Petersen, Robert Castelo, Jan Vanthienen: Learning Bayesian Network Classifiers for Credit Scoring Using Markov Chain Monte Carlo Search. ICPR (3) 2002: 49-52
5		Robert Castelo, Michael D. Perlman: Learning Essential Graph Markov Models From Data. Probabilistic Graphical Models 2002
	2001
4		Robert Castelo, A. J. Feelders, Arno Siebes: MAMBO: Discovering Association Rules Based on Conditional Independencies. IDA 2001: 289-298
3		Tomás Kocka, Robert Castelo: Improved learning of Bayesian networks. UAI 2001: 269-276
2		Paolo Giudici, Robert Castelo: Association Models for Web Mining. Data Min. Knowl. Discov. 5(3): 183-196 (2001)
	2000
1		Robert Castelo, Arno Siebes: Priors on network structures. Biasing the search for Bayesian networks. Int. J. Approx. Reasoning 24(1): 39-57 (2000)

Coauthor Index

1	Stylianos E. Antonarakis	[11]
2	Bart Baesens	[6]
3	Ewan Birney	[11]
4	Michael R. Brent	[11]
5	Jacqueline M. Bye	[11]
6	Francisco Camara	[11]
7	Michael Egmont-Petersen	[6]
8	Eduardo Eyras	[11]
9	A. J. Feelders (Ad Feelders)	[4]
10	Paul Flicek	[11]
11	Paolo Giudici	[2] [7]
12	Roderic Guigó	[10] [11]
13	Elizabeth J. Huckle	[11]
14	Tomas Kocka (Tomás Kocka)	[3] [8]
15	Genis Parra	[11]
16	Michael D. Perlman	[5]
17	Alexandre Reymond	[11]
18	Jane Rogers	[11]
19	Alberto Roverato	[12]
20	David D. Shteynberg	[11]
21	Arno Siebes	[1] [4]
22	Inma Tur	[13] [14]
23	Jan Vanthienen	[6]
24	Nicholas C. Wormald	[9]
25	Carine Wyss	[11]

Colors in the list of coauthors

Last update Sun May 27 04:04:01 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page