In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing many products follow the same industrial process but with different conditions; or in industrial diagnosis, where there is equipment with similar specifications. In these cases, it is common to have plenty of data for some scenarios but very little for other. In order to lea...

We define the concept of partiality to cope with partial availability of arguments and results of program steps. To this end, relation algebras are investigated for which, in addition to the identity , a specific type of an ordering E ⊇ is given in order to model increasing degrees of availability. It turns out that functions regulating non-strict transfer of partialities in processes are latti...

Amari (1983, 1989) proposed a mathematical formulation on the selforganization of synaptic efficacies and neural response fields under the influence of external stimuli. The dynamics as well as the equilibrium properties of the cortical map were obtained analytically for neurons with binary input-output transfer functions. Here we extend this approach to neurons with arbitrary sigmoidal transfe...

The New Lanchester Theory links Business Objectives to market share using a transfer function, known from Six Sigma and Quality Function Deployment (QFD). The transfer function can effectively be used for prioritizing new features for software products. However, it is not easy to define this transfer function. This paper presents current practices and new opportunities for software marketing th...

This paper addresses the realization of positive real transfer functions which are symmetric with respect to some signature matrix. We show that a realization that is jointly internally reciprocal and internally passive can be achieved by positive real balancing. © 2010 Elsevier B.V. All rights reserved.

Most methods for object instance segmentation require all training examples to be labeled with segmentation masks. This requirement makes it expensive to annotate new categories and has restricted instance segmentation models to ∼100 well-annotated classes. The goal of this paper is to propose a new partially supervised training paradigm, together with a novel weight transfer function, that ena...

This chapter is endeavored to motivate the use and further research of dissipative and passive discrete-time systems exploiting their frequency-domain characteristics. Our aim will be to answer the question what dissipativity may be for. For this purpose, some important features and implications of the dissipativity and passivity properties in the discrete-time setting are collected. For the li...

In this study, the authors propose the use of field programmable analogue array hardware to implement an approximated fractional step transfer function of order (n+ a) where n is an integer and 0 , a , 1. The authors show how these filters can be designed using an integer order transfer function approximation of the fractional order Laplacian operator s. First and fourth-order lowand high-pass ...

-An indirect method is introduced that is able to estimate consistently the transfer function of a linear plant on the basis of data obtained from closed loop experiments, even in the situation where the model of the noise disturbance on the data is not accurate. Moreover, the method allows approximate identification of the open loop plant with an explicit and tunable expression for the bias di...