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131
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ICML
2007
IEEE
16 years 4 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
128
Voted
ICML
2005
IEEE
16 years 4 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
115
Voted
SIGMOD
2001
ACM
145views Database» more  SIGMOD 2001»
16 years 3 months ago
Automatic Segmentation of Text into Structured Records
In this paper we present a method for automatically segmenting unformatted text records into structured elements. Several useful data sources today are human-generated as continuo...
Vinayak R. Borkar, Kaustubh Deshmukh, Sunita Saraw...
WEA
2010
Springer
545views Algorithms» more  WEA 2010»
15 years 10 months ago
Experiments on Union-Find Algorithms for the Disjoint-Set Data Structure
Abstract. The disjoint-set data structure is used to maintain a collection of non-overlapping sets of elements from a finite universe. Algorithms that operate on this data structu...
Md. Mostofa Ali Patwary, Jean R. S. Blair, Fredrik...
148
Voted
ADC
2008
Springer
139views Database» more  ADC 2008»
15 years 10 months ago
Computing Structural Similarity of Source XML Schemas against Domain XML Schema
In this paper, we study the problem of measuring structural similarities of large number of source schemas against a single domain schema, which is useful for enhancing the qualit...
Jianxin Li, Chengfei Liu, Jeffrey Xu Yu, Jixue Liu...