This paper presents a new information acquisition problem motivated by business applications where customer data has to be acquired with a specific modeling objective in mind. In the last two decades there has been substantial work in two different fields optimal experimental design and machine learning – that has addressed the issue of acquiring data in a selective manner with a specific objec...

s of the International Conference in Honor of the late Jagdish Srivastava Satellite Conference of the 58 th ISI World Statistics Congress, Dublin 2011 Vienna, Austria, September 25 th 30 th , 2011

Primary selection plays a fundamental role in display design. Primaries affect not only the gamut of colors the systems is able to reproduce, but also, they have an impact on the power consumption and other cost related variables. Using more than the traditional three primaries has been shown to be a versatile way of extending the color gamut, widening the angle view of LCD screens and improvin...

When the necessary conditions for a BIBD are satisfied, but no BIBD exists, there is no simple answer for the optimal design problem. This paper identifies the E-optimal information matrices for any such irregular BIBD setting when the number of treatments is no larger than 100. Aand D-optimal designs are typically not E-optimal. An E-optimal design for 15 treatments in 21 blocks of size 5 is f...

A broad range of parameter estimation problems involve the collection of an excessively large number of observations N . Typically each such observation involves excitation of the domain through injection of energy at some pre-defined sites and recording of the response of the domain at another set of locations. It has been observed that similar results can often be obtained by considering a fa...

Ž We view a debate as a mechanism by which an uninformed decision maker the . listener extracts information from two informed debaters, who hold contradicting positions regarding the right decision. During the debate, the debaters raise arguments and, based on these arguments, the listener reaches a conclusion. Using a simple example, we investigate the mechanism design problem of constructing ...

Popular algorithms for optimal design do not account for non-exchangeability of the basic experimental units. This paper introduces an algorithm for searching for D-optimal experimental designs in the presence of certain kinds of non-exchangeability|in particular, when there are xed covariates associated with units and/or when the units have a non-trivial covariance structure; this algorithm ex...

The following article presents the application of an evolutionary strategy to produce nearly optimal design matrices, containing the parameter settings to execute an experiment. The properties of such matrices significantly determine the precision of the optimization models used in Robust Parameter Design (RPD). The methodology presented allows the user to produce new experimental design matric...

in this paper, a new approach is proposed for the optimum design of single-phase induction motor. by using the classical design equations and the evolutionary algorithms such as genetic algorithms (ga), particle swarm optimization (pso) and modified particle swarm optimization (mpso), a single phase induction motor (spim) was designed with the maximum efficiency. the finite element method (fem)...