An adaptive inferential algorithm is developed for estimation and control of multirate systems. The output y is measured J times slower than the secondary process output v and the input U, but an output estimate ye is produced at each sampling interval of v and U. Compared with previous work on multirate inferential systems, the proposed algorithm has a more formal theoretical basis. For exampl...

The purpose of this document is to give an overview of author's prospective doctoral thesis in terms of goals, plans, adopted methodology and current achievements. The thesis' general focus is the Semantic Web, AI, automatic ontology acquisition and reasoning. When considering ontologies as general knowledge repositories, ideally reflecting substantial amount of information present on the web, ...

Inferential internalism holds that for one to be inferentially justified in believing P on the basis of E one must be justified in believing that E makes probable P. Inferential internalism has long been accused of generating a vicious regress on inferential justification that has drastic skeptical consequences. However, recently Hookway and Rhoda have defended a more modest form of internalism...

Soft sensors are increasingly gaining wide popularity in industrial processes. They are becoming essential tools that contribute to building ultimately optimised and fully controlled plants due to the soft sensor’s ability to address numerous hardware sensor problems. Gaussian processes are among the techniques recently utilised for soft sensor building. This research reviews the use of this te...

In this article, the control of particle size distribution (PSD) is discussed as a means for the inferential control of the rheology of emulsion polymers. A controllability assessment is presented through a consideration of the process mechanisms to illustrate the attainability or otherwise of bimodal PSD. The suitability of a batch-to-batch iterative feedback PSD control is demonstrated, which...

In “Weak Inferential Internalism” I defended the frequently voiced criticism that any internalist account of inferential justification generates a vicious regress. My defense involved criticizing a recent form of internalism, “Weak Inferential Internalism” (WII) defended by Hookway and Rhoda. I argued that while WII does not generate a vicious regress, the position is only distinguishable from ...

Traditionally, statistical agencies generally release outputs in the form of microdata and tabular data. Microdata contain data from social surveys and tabular data contain either frequency counts, such as for census dissemination, or magnitude data typically arising from business surveys, eg. total revenue. For each of these traditional outputs, there has been much research on how to quantify ...

This paper generalizes the authors’ inferential model (IM) framework for priorfree, posterior probabilistic inference about unknown parameters. This generalization is accomplished by focusing on an association model determined by the sampling distribution of a function of the data and parameter. The advantage is that the new association model is generally easier to work with than that determine...

Macromolecular structures calculated from nuclear magnetic resonance data are not fully determined by experimental data but depend on subjective choices in data treatment and parameter settings. This makes it difficult to objectively judge the precision of the structures. We used Bayesian inference to derive a probability distribution that represents the unknown structure and its precision. Thi...