The tutorial starts with an overview of the concepts of VC dimension and structural risk minimization. We then describe linear Support Vector Machines (SVMs) for separable and non-...
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. ...
—The parameter identification of nonlinear constitutive model of soil mass is based on an inverse analysis procedure, which consists of minimizing the objective function represen...
—Instruction set simulators (ISS) are vital tools for compiler and processor architecture design space exploration and verification. State-of-the-art simulators using just-in-ti...
In verb/noun generation experiments, participants have to produce a word associated with a stimulus (usually a noun) and belonging to a given syntactic category (“verb” or “...