Linear Discriminant Analysis (LDA) is a popular statistical approach for dimensionality reduction. LDA captures the global geometric structure of the data by simultaneously maximi...
Background: Accurate evaluation and modelling of residue-residue interactions within and between proteins is a key aspect of computational structure prediction including homology ...
Vladimir Potapov, Mati Cohen, Yuval Inbar, Gideon ...
Protein structure determination and prediction has been a focal research subject in life sciences due to the importance of protein structure in understanding the biological and ch...
The research is focused on traditional timber frame structures (TFS) situated in rural areas. Often neglected, remaining examples embody our build Heritage. However, architects hav...
Most real-world data is stored in relational form. In contrast, most statistical learning methods work with "flat" data representations, forcing us to convert our data i...
Lise Getoor, Nir Friedman, Daphne Koller, Benjamin...