In this article we present the general architecture of a hybrid neuro-symbolic system for the selection and stepwise elimination of predictor variables and non-relevant individuals for the construction of a model. Our purpose is to design tools for extracting the relevant variables and the relevant individuals for an automatic training from data. The objective is to reduce the complexity of sto...

The stepwise development of a program using reene-ment requires that the original abstract speciication is realisable, i.e., an implementation exists with identical functionality. In some situations, this may not be desirable or even possible, and an ideal speciication which is only approximated by the nal implementation is used. For these speciications, an informal step, based on the developer...

Responses on a stepwise. increase of the electrolyte concentration of bare ISFETs can interfere with responses of an ISFET with an affinity membrane deposited on the gate. In this paper the responses of bare ISFETs are studied. Results of experiments and simulations are presented and the mechanism is explained.

A novel method for microarray data classification is proposed in this letter. In this scheme, the sequential floating forward selection (SFFS) technique is used to select the independent components of the DNA microarray data for classification. Experimental results show that the method is efficient and feasible. r 2006 Elsevier B.V. All rights reserved.

We extend the model of Ancilla Driven Quantum Computation (ADQC) by considering gates with arbitrary entangling power. By giving up stepwise determinism, universal QC can still be achieved through a variable length sequence of single qubit gates and probabilistic “repeat-untilsucces” entangling operations. This opens up a new range of possible physical implementations as well as shedding light ...

Texts are replete with gaps, information omitted since authors assume a certain amount of background knowledge. We describe the kind of information (the formalism and methods to derive the content) useful for automated filling of such gaps. We describe a stepwise procedure with a detailed example.

In our previous work, we have developed the backward feature selection method based on class regions approximated by ellipsoids. In this paper, we accelerate feature selection by the forward selection search, the symmetric Cholesky factorization, and deletion of duplicated calculations between consecutive factorizations. The feature selection for two data sets shows that our method is faster th...

Past research has found an association between inspection time (IT) and fluid intelligence using measures confounded with visual processing (e.g., Wechsler PIQ or Ravens Progressive Matrices). The present study related IT to intelligence using a measure (Woodcock–Johnson—Revised, WJ-R) that has nonconfounded factors of mental ability in order to determine whether the association is based upon f...

E-government adoption is the focus of many research studies. However, few studies have compared the adoption factors to identify the most salient predictors of e-government use. This study compares popular adoption constructs to identify the most influential. A survey was administered to elicit citizen perceptions of e-government services. The results of stepwise regression indicate perceived u...

This chapter gives a brief overview of our framework for stepwise synthesis of logic programs from examples and properties. Directives are extracted for the development of a particular synthesis mechanism whose steps are guided by a divide-and-conquer schema. It features deductive and inductive reasoning. Examples and properties are presented to it in a non-incremental fashion. The objectives a...