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105
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ICML
2007
IEEE
16 years 1 months ago
Bottom-up learning of Markov logic network structure
Markov logic networks (MLNs) are a statistical relational model that consists of weighted firstorder clauses and generalizes first-order logic and Markov networks. The current sta...
Lilyana Mihalkova, Raymond J. Mooney
ICML
2005
IEEE
16 years 1 months ago
Learning the structure of Markov logic networks
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. In this pap...
Stanley Kok, Pedro Domingos
228
Voted
SIGMOD
2009
ACM
175views Database» more  SIGMOD 2009»
16 years 1 months ago
Keyword search on structured and semi-structured data
Empowering users to access databases using simple keywords can relieve the users from the steep learning curve of mastering a structured query language and understanding complex a...
Yi Chen, Wei Wang 0011, Ziyang Liu, Xuemin Lin
93
Voted
IUI
2009
ACM
15 years 9 months ago
Structuring and manipulating hand-drawn concept maps
Concept maps are an important tool to knowledge organization, representation, and sharing. Most current concept map tools do not provide full support for hand-drawn concept map cr...
Yingying Jiang, Feng Tian, XuGang Wang, Xiaolong Z...
108
Voted
ICASSP
2007
IEEE
15 years 7 months ago
Using Structural Similarity Quality Metrics to Evaluate Image Compression Techniques
Perceptual image quality metrics have explicitly accounted for perceptual characteristics of the human visual system (HVS) by modeling sensitivity to subband noise as the just-not...
Alan C. Brooks, Thrasyvoulos N. Pappas