We present some greedy learning algorithms for building sparse nonlinear regression and classification models from observational data using Mercer kernels. Our objective is to dev...
Prasanth B. Nair, Arindam Choudhury 0002, Andy J. ...
There are numerous applications where there is a need to rapidly infer a story about a given subject from a given set of potentially heterogeneous data sources. In this paper, we f...
Marat Fayzullin, V. S. Subrahmanian, Massimiliano ...
Given a data set, a dynamical procedure is applied to the data points in order to shrink and separate, possibly overlapping clusters. Namely, Newton’s equations of motion are em...
Images are conventionally sampled on a rectangular lattice, and they are also commonly stored as such a lattice. Thus, traditional image processing is carried out on the rectangula...
One of the most difficult tasks in software development is that features are implemented by changing the code of other features. This problem cannot be solved with existing general...