95 search results - page 2 / 19 » Learning Markov Logic Networks Using Structural Motifs |
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
ICMLA
2010
13 years 2 months ago
2010
Markov Logic Networks (MLNs) combine Markov Networks and first-order logic by attaching weights to firstorder formulas and viewing them as templates for features of Markov Networks...
ISMB
1993
13 years 5 months ago
1993
There are several dimensions and levels of complexity in which information on protein motifs may be available. For example, onedimensional sequence motifs may be associated with s...
RECOMB
2007
Springer
14 years 4 months ago
2007
Springer
Transcription factor (TF) binding to its DNA target site is a fundamental regulatory interaction. The most common model used to represent TF binding specificities is a position spe...
ECAI
2008
Springer
13 years 6 months ago
2008
Springer
Many real-world applications of AI require both probability and first-order logic to deal with uncertainty and structural complexity. Logical AI has focused mainly on handling com...