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ECAI
2010
Springer
15 years 4 months ago
Adaptive Markov Logic Networks: Learning Statistical Relational Models with Dynamic Parameters
Abstract. Statistical relational models, such as Markov logic networks, seek to compactly describe properties of relational domains by representing general principles about objects...
Dominik Jain, Andreas Barthels, Michael Beetz
IJON
2011
186views more  IJON 2011»
14 years 10 months ago
Discriminative structure selection method of Gaussian Mixture Models with its application to handwritten digit recognition
, Yunde Jia Model structure selection is currently an open problem in modeling data via Gaussian Mixture Models (GMM). This paper proposes a discriminative method to select GMM st...
Xuefeng Chen, Xiabi Liu, Yunde Jia
BIOINFORMATICS
2012
13 years 9 months ago
MolClass: a web portal to interrogate diverse small molecule screen datasets with different computational models
Summary: The MolClass toolkit and data portal generates computational models from user-defined small molecule datasets based on structural features identified in hit and non-hit m...
Jan Wildenhain, Nicholas FitzGerald, Mike Tyers

Publication
453views
17 years 5 months ago
System Level Modeling of IEEE 802.16e Mobile WiMAX Networks: Key Issues
WiMAX has attracted a lot of attention recently in the telecommunication community including researchers, product developers and service providers. Numerous papers have been publis...
Raj Jain, Chakchai So-In, and Abdel-Karim Al Tamim...
ICIP
2004
IEEE
16 years 8 months ago
Multisensor raster and vector data fusion based on uncertainty modeling
We propose a new methodology for fusing temporally changing multisensor raster and vector data by developing a spatially and temporally varying uncertainty model of acquired and t...
Sang-Chul Lee, Peter Bajcsy