Alan H. Gardiner

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Many of the designations used by manufacturers and sellers to distinguish their products are claimed as trademarks. Where those designations appear in this book, and the publisher was aware of a trademark claim, the designations have been printed with initial capital letters or in all capitals. Unicode and the Unicode Logo are registered trademarks of(More)
Russian constructions that involve the ambiguity of valencies are considered regarding the extent in which it can be successfully resolved by man or machine. The material includes two types of phenomena: 1) Russian counterparts of noun phrases like (a) the phases of sleep vs. (b) the phase of active sleep – in (a), sleep instantiates the subject valency of(More)
In this paper the maximum a posteriori (MAP) image reconstruction of magnetoencephalograms (MEG) is investigated. A mathematical framework for vector Markov random field models (MRF) suitable for MEG modeling of brain neuron current dipole activity is developed. A new method for simulating an MRF over a non-uniformly spaced sample grid while approximating(More)
Many of the designations used by manufacturers and sellers to distinguish their products are claimed as trademarks. Where those designations appear in this book, and the publisher was aware of a trademark claim, the designations have been printed with initial capital letters or in all capitals. Unicode and the Unicode Logo are registered trademarks of(More)
Many of the designations used by manufacturers and sellers to distinguish their products are claimed as trademarks. Where those designations appear in this book, and the publisher was aware of a trademark claim, the designations have been printed with initial capital letters or in all capitals. The Unicode® Consortium is a registered trademark, and Unicode™(More)
In this paper the maximum a posteriori (MAP) reconstruction of magnetoencephalograms (MEG) is investigated. The solution is cast as a classical inverse imaging problem , which for MEG is notoriously ill posed and requires strong regularization. Two different Markov random vector field (MRF) models suitable for MEG regularization are developed. The first(More)
the loss of the illocutionary point. (= " Pragmatics today ") First I would like to thank Irène and Costantino for having invited me to participate to this round-table. The aim of this presentation is to offer a very brief survey, both conceptual and historical, of the developments of Pragmatics during the last sixty years (of course many things will be(More)
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