System dynamics models in land use change are useful tools for understanding the cause and effect of land use changes, assessing the impacts of land use systems on the environment, and supports land use planning and ...

Measuring computing excellence and vitality has become an important approach to understanding sustainable information and communication technology (ICT) for societal transformation and development around the world. In ...

In this paper a methodology for feature selection in named entity recognition is proposed. Unlike traditional named entity recognition approaches which mainly consider accuracy improvement as the sole objective, the ...

The inexact primal-dual interior point method which is discussed in this paper chooses a new iterate along an approximation to the Newton direction. The method is the Kojima, Megiddo, andMizuno globally convergent ...

The use of Information and Communications Technologies (ICT) to improve how goods are produced and services are delivered is a feature of everyday life in developed countries. If ICT is used appropriately, it has the ...

Equal weighting of low- and high-confidence observations occurs for Huber, Talwar, and Barya weighting functions when Newton’s method is used to solve robust linear regression problems. This leads to easy updates and/or ...

In this paper we apply the Inexact Newton theory on the perturbed KKT-conditions that are derived from the Karush-Kuhn-Tucker optimality conditions for the standard linear optimization problem. We discuss different ...

We formulate a general Association rule mining model for extracting useful information from very large databases. An interactive Association rule mining system is designed using a combination of genetic algorithms and a ...

In most interior point methods for linear programming, a sequence of weighted linear least squares problems are solved, where the only changes from one iteration to the next are the weights and the right hand side. The ...

In this paper, we consider solving the robust linear regression problem y = Ax + ∈ by an inexact Newton method and an iteratively reweighted least squares method. We show that each of these methods can be combined with ...