Facundo Bromberg and Dimitris Margaritis (2009). Improving the Reliability of Causal Discovery
from Small Data Sets Using Argumentation. Journal of Machine Learning Research, Special
Topic on Causality, 10(Feb):301-340. [PDF]
Facundo Bromberg, Dimitris Margaritis, and Vasant Honavar
(2009). Efficient Markov Network Structure Discovery
using Independence Tests. Journal of
Artificial Intelligence Research, Volume 35, pages
449-485. [PDF]
D. Margaritis and F. Bromberg (2009). Efficient Markov Network Discovery Using Particle
Filters. Computational
Intelligence, Volume 25, Issue 4, pages 367-394.
[PDF]
Haitao Cheng, Taner Z. Sen, Andrzej Kloczkowski, Dimitris
Margaritis, and Robert L. Jernigan (2005). Prediction of Protein Secondary Structure by Mining
Fragments Database. Polymer,
Volume 46, pages 4314-4321. [PDF]
B. Moghaddam, H. Biermann, and D. Margaritis (2001). Regions-of-Interest and Spatial Layout for
Content-Based Image Retrieval. Journal of Multimedia Tools and Applications,
Kluwer Academic Publishers, Vol. 14, No. 3.
Also available as MERL technical report TR2000-35.
[Compressed Postscript |
PDF]
Journal Publications (Submitted)
B. Patterson and D. Margaritis. A Survey of the use of
Hidden Variables in Graphical Models. Under review.
Refereed Conference Publications
D. Margaritis (2010). Toward
Provably Correct Feature Selection in Arbitrary Domains. Advances in Neural Information
Processing Systems 22 (NIPS*2009),
Vancouver, Canada.
[PDF]
P. Gandhi, F. Bromberg, and D. Margaritis (2008). Learning Markov Network Structure using Few
Independence Tests. Proceedings of
the Seventh SIAM International Conference on Data Mining
(SDM), pages 680-691. [PDF]
(Copyright Society for Industrial
and Applied Mathematics)
F. Bromberg and D. Margaritis (2007). Efficient and Robust Independence-Based Markov
Network Structure Discovery. Proceedings of The Twentieth International Joint
Conference on Artificial Intelligence (IJCAI), pages
2431-2436. [PDF]
(Copyright IJCAI)
F. Bromberg, D. Margaritis, and V. Honavar (2006). Efficient Markov Network Structure Discovery
from Independence Tests. Proceedings of The Sixth SIAM International
Conference on Data Mining (SDM). [PDF]
(Copyright Society for Industrial
and Applied Mathematics)
B. Patterson and D. Margaritis (2005). Essential Hidden Variables: An
Introduction. Proceedings of The
Second Indian International Conference on Artificial
Intelligence (IICAI), Pune, India. [PDF]
S. Yaramakala and D. Margaritis (2005). Speculative Markov Blanket Discovery for
Optimal Feature Selection. Proceedings of The Fifth IEEE International
Conference on Data Mining (IEEE ICDM), pages 809-812,
Houston, Texas. [PDF]
(Copyright IEEE Computer
Society)
D. Margaritis (2005). Distribution-Free Learning of Bayesian Network
Structure in Continuous Domains. Proceedings of The Twentieth National Conference
on Artificial Intelligence (AAAI), pages 825-830,
Pittsburgh, PA. [PDF]
(Copyright AAAI)
D. Margaritis and S. Thrun (2001). A
Bayesian Multiresolution Independence Test for Continuous
Variables. 17th Conference on
Uncertainty in Artificial Intelligence (UAI), pages
346-353, Seattle, Washington. [Postscript | PDF]
D. Margaritis, C. Faloutsos, and S. Thrun (2001). NetCube: A Scalable Tool for Fast Data Mining
and Compression. 27th Conference
on Very Large Databases (VLDB), pages 311-320, Rome,
Italy. [Postscript | PDF]
D. Margaritis and S. Thrun (2000). Bayesian Network Induction via Local
Neighborhoods. Advances in Neural
Information Processing Systems 12 (NIPS*1999), pages 505-511,
Denver, Colorado. [BibTeX entry | Postscript | PDF] An extended version of
the above is available as Technical Report CMU-CS-99-134, August
1999. [Postscript]
B. Moghaddam, H. Biermann, and D. Margaritis (2000). Image Retrieval with Local and Spatial
Queries. International Conference
on Image Processing (ICIP), Vancouver, Canada. [Postscript | PDF]
D. Margaritis and S. Thrun (1998). Learning to Locate an Object in 3D Space from a
Sequence of Camera Images. International Conference on Machine Learning
(ICML), pages 332-340, Madison, Wisconsin. [BibTeX entry | Postscript | PDF]
S. Waldherr, S. Thrun, R. Romero, and D. Margaritis (1998). Template-Based Recognition of Pose and
Motion Gestures On a Mobile Robot. The Fifteenth National Conference on Artificial
Intelligence (AAAI), pages 977-982, Madison,
Wisconsin. [BibTeX entry | PDF]
Tzi-cker Chiueh, Dimitris Margaritis, and Srinidhi Varadarajan
(1997). Design, Implementation, and Evaluation of
a Parallel Image Shape Indexer. Proceedings of the Second International Conference on
Visual Information Systems (Visual'97). [Postscript | PDF]
D. Margaritis and S. Skiena (1995). Reconstructing Strings from Substrings in
Rounds. IEEE Foundations of
Computer Science (FOCS), pages 613-620. [Postscript | PDF]
P. Stamatopoulos, D. Margaritis, and C. Halatsis (1994). Extending a Parallel CLP Language to
Support the Development of Multi-agent Systems. ACM Symposium on Applied Computing
(SAC),pages 410-414, Phoenix, Arizona. [Postscript | PDF]
C. Halatsis, P. Stamatopoulos, I. Karali, C. Mourlas,
D. Gouscos, D. Margaritis, C. Fouskakis, A. Kolokouris,
P. Xinos, M. Reeve, A. Veron, K. Schuerman, and L.-L. Li
(1994). MaTourA: Multi-agent Tourist
Advisor. Proceedings of the
International Conference on Information and Communications
Technologies in Tourism (ENTER'94), Innsbruck,
Austria. [Postscript | PDF]
Book Chapters (Refereed)
D. Margaritis, C. Faloutsos, and S. Thrun (2007). NetCube: Fast, Approximate Database Queries
using Bayesian Networks. In A. Mittal, A. Kassim and
T. Tan (editors), Bayesian Network
Technologies: Applications and Graphical Models, Idea
Group Publishers, USA.
Workshop Publications
G. Baltus, D. Fox, F. Gemperle, J. Goetz, T. Hirsch,
D. Margaritis, M. Montemerlo, J. Pineau, N. Roy, J. Schulte, and
S. Thrun (2000). Towards Personal
Service Robots for the Elderly. 2000 Workshop on Interactive Robotics and
Entertainment (WIRE-2000), Pittsburgh, PA, USA. [Compressed Postscript |
PDF]
B. Moghaddam, H. Biermann, and D. Margaritis (1999). Regions-of-Interest and Spatial Layout in
Content-based Image Retrieval. European Workshop on Content-Based Multimedia
Indexing (CBMI'99). Toulouse, France.
B. Moghaddam, H. Biermann, and D. Margaritis (1999). Defining Image Content with Multiple
Regions-of-Interest. IEEE
Workshop on Content-based Access of Image and Video Libraries
(CBAIVL'99). Part of CVPR'99.
Available as MERL Technical Report TR99-10. [Postscript |
PDF]
Other Publications
D. Margaritis (May 2003). Learning Bayesian
Network Model Structure from Data. Ph.D. Thesis, Department of Computer Science,
Carnegie Mellon University. Avaliable as
Technical Report TR-CMU-CS-03-153. [Postscript | PDF | BibTeX entry]