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Utilizing Statistical Semantic Similarity Techniques for Ontology Mapping– with Applications to AEC Standard Models
ontology mapping similarity analysis information interoperation statistical analysis techniques
2015/6/30
In the Architecture, Engineering and Construction (AEC) industry, there exist a number of ontological standards to describe the semantics of building models.Although the standards share similar scopes...
Maximal Information Divergence from Statistical Models defined by Neural Networks
neural network exponential family Kullback-Leibler diver-gence multi-information
2013/4/27
We review recent results about the maximal values of the Kullback-Leibler information divergence from statistical models defined by neural networks, including naive Bayes models, restricted Boltzmann ...
We investigate statistical inference across time scales. We take as toy model the estimation of the intensity of a discretely observed compound Poisson process with symmetric Bernoulli jumps.
Remarks on the statistical study of protein-protein interaction in living cells
Maximum likelihood multi-exponential model model selection FRET FLIM TCSPC
2011/6/20
In this note, we focus on a selection model problem: a monoexponential
model versus a bi-exponential one. This is done in the biological
context of living cells, where small data are available. Clas...
Statistical Classification Techniques for Photometric Supernova Typing
photometric sn typing boosting KDE
2010/10/19
Future photometric supernova surveys will produce vastly more candidates than can be followed up spectroscopically, highlighting the need for effective classification methods based on lightcurves alo...