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PKDD
2009
Springer
170views Data Mining» more  PKDD 2009»
14 years 1 months ago
Statistical Relational Learning with Formal Ontologies
Abstract. We propose a learning approach for integrating formal knowledge into statistical inference by exploiting ontologies as a semantically rich and fully formal representation...
Achim Rettinger, Matthias Nickles, Volker Tresp
JIB
2006
220views more  JIB 2006»
13 years 6 months ago
An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions
Protein-protein interactions (PPI) play a key role in many biological systems. Over the past few years, an explosion in availability of functional biological data obtained from hi...
Fiona Browne, Haiying Wang, Huiru Zheng, Francisco...
JCC
2008
117views more  JCC 2008»
13 years 6 months ago
Prediction of protein structural class using novel evolutionary collocation-based sequence representation
: Knowledge of structural classes is useful in understanding of folding patterns in proteins. Although existing structural class prediction methods applied virtually all state-of-t...
Ke Chen 0003, Lukasz A. Kurgan, Jishou Ruan
JCISD
2002
63views more  JCISD 2002»
13 years 6 months ago
Prediction of Ultraviolet Spectral Absorbance Using Quantitative Structure-Property Relationships
High performance liquid chromatography (HPLC) with ultraviolet (UV) spectrophotometric detection is a common method for analyzing reaction products in organic chemistry. This proc...
William L. Fitch, Malcolm McGregor, Alan R. Katrit...
ICCV
1999
IEEE
13 years 11 months ago
Bayesian Structure from Motion
:We formulate structure from motion as a Bayesian inference problem, and use a Markov chain Monte Carlo sampler to sample the posterior on this problem. This results in a method th...
David A. Forsyth, Sergey Ioffe, John A. Haddon