26 research outputs found

    Adaptive cluster expansion for the inverse Ising problem: convergence, algorithm and tests

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    We present a procedure to solve the inverse Ising problem, that is to find the interactions between a set of binary variables from the measure of their equilibrium correlations. The method consists in constructing and selecting specific clusters of variables, based on their contributions to the cross-entropy of the Ising model. Small contributions are discarded to avoid overfitting and to make the computation tractable. The properties of the cluster expansion and its performances on synthetic data are studied. To make the implementation easier we give the pseudo-code of the algorithm.Comment: Paper submitted to Journal of Statistical Physic

    Representation in the (Artificial) Immune System

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    Much of contemporary research in Artificial Immune Systems (AIS) has partitioned into either algorithmic machine learning and optimisation, or, modelling biologically plausible dynamical systems, with little overlap between. We propose that this dichotomy is somewhat to blame for the lack of significant advancement of the field in either direction and demonstrate how a simplistic interpretation of Perelson’s shape-space formalism may have largely contributed to this dichotomy. In this paper, we motivate and derive an alternative representational abstraction. To do so we consider the validity of shape-space from both the biological and machine learning perspectives. We then take steps towards formally integrating these perspectives into a coherent computational model of notions such as life-long learning, degeneracy, constructive representations and contextual recognition—rhetoric that has long inspired work in AIS, while remaining largely devoid of operational definition

    Statistical strategies for avoiding false discoveries in metabolomics and related experiments

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    Pedotransfer functions to predict water retention for soils of the humid tropics: a review

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    Novel Loci for Adiponectin Levels and Their Influence on Type 2 Diabetes and Metabolic Traits : A Multi-Ethnic Meta-Analysis of 45,891 Individuals

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    J. Kaprio, S. Ripatti ja M.-L. Lokki työryhmien jäseniä.Peer reviewe

    Companies' accounts checklists for the disclosure requirements of British company law, Accounting Standards and the Stock Exchange

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    An `open book' text for final examinations from July 1997 onwards; updates and replaces AD 346Available from British Library Document Supply Centre-DSC:0573.564(363) / BLDSC - British Library Document Supply CentreSIGLEGBUnited Kingdo

    Companies' accounts checklists For the disclosure requirements of British company law, accounting standards and the stock exchange

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    Updates and replaces AD 399Available from British Library Document Supply Centre-DSC:0573.564(iss 418) / BLDSC - British Library Document Supply CentreSIGLEGBUnited Kingdo

    Companies' accounts checklists

    No full text
    SIGLEAvailable from British Library Document Supply Centre-DSC:0573.564(383) / BLDSC - British Library Document Supply CentreGBUnited Kingdo
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