Thi, Hoai Le; Le, Hoai; Dinh, Tao Pham; Huynh, Ngai Van - In: Journal of Global Optimization 56 (2013) 4, pp. 1393-1407
In this paper, we consider a binary supervised classification problem, called spherical separation, that consists of finding, in the input space or in the feature space, a minimal volume sphere separating the set <InlineEquation ID="IEq1"> <EquationSource Format="TEX">$${\mathcal{A}}$$</EquationSource> </InlineEquation> from the set <InlineEquation ID="IEq2"> <EquationSource Format="TEX">$${\mathcal{B}}$$</EquationSource> </InlineEquation> (i.e. a sphere enclosing all...</equationsource></inlineequation></equationsource></inlineequation>