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ICML
2010
IEEE
13 years 7 months ago
Learning Markov Logic Networks Using Structural Motifs
Markov logic networks (MLNs) use firstorder formulas to define features of Markov networks. Current MLN structure learners can only learn short clauses (4-5 literals) due to extre...
Stanley Kok, Pedro Domingos
KAIS
2006
121views more  KAIS 2006»
13 years 6 months ago
Using discriminant analysis for multi-class classification: an experimental investigation
Abstract. Many supervised machine learning tasks can be cast as multi-class classification problems. Support vector machines (SVMs) excel at binary classification problems, but the...
Tao Li, Shenghuo Zhu, Mitsunori Ogihara
ECCV
2008
Springer
14 years 8 months ago
Projected Texture for Object Classification
Algorithms for classification of 3D objects either recover the depth information lost during imaging using multiple images, structured lighting, image cues, etc. or work directly t...
Avinash Sharma, Anoop M. Namboodiri
RECOMB
2007
Springer
14 years 7 months ago
Framework for Identifying Common Aberrations in DNA Copy Number Data
High-resolution array comparative genomic hybridization (aCGH) provides exon-level mapping of DNA aberrations in cells or tissues. Such aberrations are central to carcinogenesis an...
Amir Ben-Dor, Doron Lipson, Anya Tsalenko, Mark Re...
BMCBI
2008
98views more  BMCBI 2008»
13 years 6 months ago
PredGPI: a GPI-anchor predictor
Background: Several eukaryotic proteins associated to the extracellular leaflet of the plasma membrane carry a Glycosylphosphatidylinositol (GPI) anchor, which is linked to the C-...
Andrea Pierleoni, Pier Luigi Martelli, Rita Casadi...