Helge Langseth

	2012
19		Helge Langseth, Thomas D. Nielsen, Rafael Rumí, Antonio Salmerón: Mixtures of truncated basis functions. Int. J. Approx. Reasoning 53(2): 212-227 (2012)
18		Helge Langseth, Thomas Dyhre Nielsen: A latent model for collaborative filtering. Int. J. Approx. Reasoning 53(4): 447-466 (2012)
	2011
17		Anders Kofod-Petersen, Fredrik Heintz, Helge Langseth: Eleventh Scandinavian Conference on Artificial Intelligence, SCAI 2011, Trondheim, Norway, May 24th - 26th, 2011 IOS Press 2011
16		Tor Gunnar Houeland, Tore Bruland, Agnar Aamodt, Helge Langseth: Extended Abstract: Combining CBR and BN using metareasoning. SCAI 2011: 189-190
15		Terje N. Lillegraven, Arnt C. Wolden, Anders Kofod-Petersen, Helge Langseth: Extended Abstract: A design for a tourist CF system. SCAI 2011: 193-194
	2010
14		Shengtong Zhong, Ana M. Martínez, Thomas D. Nielsen, Helge Langseth: Towards a More Expressive Model for Dynamic Classification. FLAIRS Conference 2010
13		Tore Bruland, Agnar Aamodt, Helge Langseth: Architectures Integrating Case-Based Reasoning and Bayesian Networks for Clinical Decision Support. Intelligent Information Processing 2010: 82-91
12		Helge Langseth, Thomas D. Nielsen, Rafael Rumí, Antonio Salmerón: Parameter estimation and model selection for mixtures of truncated exponentials. Int. J. Approx. Reasoning 51(5): 485-498 (2010)
	2009
11		Helge Langseth, Thomas D. Nielsen, Rafael Rumí, Antonio Salmerón: Maximum Likelihood Learning of Conditional MTE Distributions. ECSQARU 2009: 240-251
10		Helge Langseth, Thomas D. Nielsen: Latent classification models for binary data. Pattern Recognition 42(11): 2724-2736 (2009)
9		Helge Langseth, Thomas D. Nielsen, Rafael Rumí, Antonio Salmerón: Inference in hybrid Bayesian networks. Rel. Eng. & Sys. Safety 94(10): 1499-1509 (2009)
	2007
8		Helge Langseth, Luigi Portinale: Bayesian networks in reliability. Rel. Eng. & Sys. Safety 92(1): 92-108 (2007)
	2006
7		Helge Langseth, Thomas D. Nielsen: Classification using Hierarchical Naïve Bayes models. Machine Learning 63(2): 135-159 (2006)
	2005
6		Helge Langseth, Thomas D. Nielsen: Latent Classification Models. Machine Learning 59(3): 237-265 (2005)
	2003
5		Helge Langseth, Thomas D. Nielsen: Fusion of Domain Knowledge with Data for Structural Learning in Object Oriented Domains. Journal of Machine Learning Research 4: 339-368 (2003)
	2001
4		Olav Bangsø, Helge Langseth, Thomas D. Nielsen: Structural Learning in Object Oriented Domains. FLAIRS Conference 2001: 340-344
3		Helge Langseth, Finn Verner Jensen: Heuristics for Two Extensions of Basic Troubleshooting. SCAI 2001: 80-89
2		Finn Verner Jensen, Uffe Kjærulff, Brian Kristiansen, Helge Langseth, Claus Skaanning, Jirí Vomlel, Marta Vomlelová: The SACSO methodology for troubleshooting complex systems. AI EDAM 15(4): 321-333 (2001)
1		Helge Langseth, Olav Bangsø: Parameter Learning in Object-Oriented Bayesian Networks. Ann. Math. Artif. Intell. 32(1-4): 221-243 (2001)

Coauthor Index

1	Agnar Aamodt	[13] [16]
2	Olav Bangsø	[1] [4]
3	Tore Bruland	[13] [16]
4	Fredrik Heintz	[17]
5	Tor Gunnar Houeland	[16]
6	Finn Verner Jensen	[2] [3]
7	Uffe Kjærulff	[2]
8	Anders Kofod-Petersen	[15] [17]
9	Brian Kristiansen	[2]
10	Terje N. Lillegraven	[15]
11	Ana M. Martínez	[14]
12	Thomas D. Nielsen (Thomas Dyhre Nielsen)	[4] [5] [6] [7] [9] [10] [11] [12] [14] [18] [19]
13	Luigi Portinale	[8]
14	Rafael Rumí	[9] [11] [12] [19]
15	Antonio Salmerón (Antonio Salmerón Cerdán)	[9] [11] [12] [19]
16	Claus Skaanning	[2]
17	Jirí Vomlel	[2]
18	Marta Vomlelová	[2]
19	Arnt C. Wolden	[15]
20	Shengtong Zhong	[14]

Colors in the list of coauthors

Last update Fri May 25 01:42:58 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page