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114
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ICML
2009
IEEE
16 years 3 months ago
Learning Markov logic network structure via hypergraph lifting
Markov logic networks (MLNs) combine logic and probability by attaching weights to first-order clauses, and viewing these as templates for features of Markov networks. Learning ML...
Stanley Kok, Pedro Domingos
97
Voted
ICDM
2009
IEEE
152views Data Mining» more  ICDM 2009»
15 years 9 months ago
SLIDER: Mining Correlated Motifs in Protein-Protein Interaction Networks
Correlated motif mining (CMM) is the problem to find overrepresented pairs of patterns, called motif pairs, in interacting protein sequences. Algorithmic solutions for CMM thereb...
Peter Boyen, Frank Neven, Dries Van Dyck, Aalt-Jan...
116
Voted
IPPS
2005
IEEE
15 years 8 months ago
A Novel QoS Multicast Model in Mobile Ad Hoc Networks
Multicast applications for large-scale Mobile Ad hoc NETworks (MANETs) require an efficient and effective Quality of Service (QoS)-aware multicast model. The new requirements to ...
Guojun Wang, Jiannong Cao, Lifan Zhang, Keith C. C...
96
Voted
EUROPAR
2006
Springer
15 years 6 months ago
Master-Slave Tasking on Asymmetric Networks
Abstract. This paper presents new techniques for master-slave tasking on treeshaped networks with fully heterogeneous communication and processing resources. A large number of inde...
Cyril Banino-Rokkones, Olivier Beaumont, Lasse Nat...
121
Voted
IJCAI
2007
15 years 4 months ago
Automated Heart Wall Motion Abnormality Detection from Ultrasound Images Using Bayesian Networks
Coronary Heart Disease can be diagnosed by measuring and scoring regional motion of the heart wall in ultrasound images of the left ventricle (LV) of the heart. We describe a comp...
Maleeha Qazi, Glenn Fung, Sriram Krishnan, R&oacut...