While classical kernel-based learning algorithms are based on a single kernel, in practice it is often desirable to use multiple kernels. Lanckriet et al. (2004) considered conic ...
In this paper we introduce a simple ant based algorithm for solving a copper mine planning problem. In the last 10 years this realworld problem has been tackled using linear intege...
We consider sequential quadratic programming (SQP) methods for solving constrained nonlinear programming problems. It is generally believed that SQP methods are sensitive to the a...
In many multiclass learning scenarios, the number of classes is relatively large (thousands,...), or the space and time efficiency of the learning system can be crucial. We invest...
In this paper we introduce an evolutionary algorithm for solving a copper mine planning problem. In the last 10 years this realworld problem has been tackled using linear integer p...