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1	Crohn’s disease: is the cold chain hypothesis still hot?
	Hugot, Jean-Pierre; Dumay, Anne; Barreau, Frédérick...
	In: ISSN: 1873-9946 ; EISSN: 1876-4479 ; Journal of Crohn's and Colitis ; https://hal.inrae.fr/hal-03030942 ; Journal of Crohn's and Colitis, Elsevier - Oxford University Press, In press, ⟨10.1093/ecco-jcc/jjaa192⟩ (2020)
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2	Deconstructing Lymphomas. ...
	Raghavan, Bagyam. - : European Congress of Radiology, 2020
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3	Provider-Network-Statistical-Measures (2019-01-05) ...
	Parsons, Inc. - : IMPACT, 2019
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4	Sémantique des possibles argumentatifs et théorie de la proximisation : vers un modèle pragmatique hybride d’analyse critique du discours
	Wagener, Albin
	In: ISSN: 1253-9708 ; Scolia ; https://hal.univ-rennes2.fr/hal-02103701 ; Scolia, Université des sciences humaines Strasbourg, 2016, pp.157-172 ; https://journals.openedition.org/scolia/440#quotation (2016)
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5	Prédiscours, interdiscours et postdiscours : analyse critique de la circulation des possibles discursifs
	Wagener, Albin
	In: ISSN: 1285-4093 ; Revue de Sémantique et Pragmatique ; https://hal.univ-rennes2.fr/hal-02103280 ; Revue de Sémantique et Pragmatique, Presses de l'Université d'Orléans, 2016, 39 (39), pp.95-110. ⟨10.4000/rsp.422⟩ (2016)
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6	АРХИТЕКТУРА СОБЫТИЙНОГО КОНЦЕПТА (НА ПРИМЕРЕ ВЕРБАЛИЗОВАННОЙ СИТУАЦИИ ПОЗНАНИЯ ЗАПАХА)
	ШНЯКИНА НАТАЛЬЯ ЮРЬЕВНА. - : Общество с ограниченной ответственностью Издательство Грамота, 2015
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7	Programmable volatile/non-volatile memory cell
	Guillemenet, Yoann; Torres, Lionel
	In: https://hal-lirmm.ccsd.cnrs.fr/lirmm-01688122 ; United States, Patent n° : US20140050012 A1. 2014 (2014)
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8	K2U at TREC 2014 KBA Track
	Kawahara, Shun; Seki, Kazuhiro; Uehara, Kuniaki
	In: DTIC (2014)
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9	Enabling Efficient Intelligence Analysis in Degraded Environments
	Lecocq, Regine; Lavigne, Valerie
	In: DTIC (2013)
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10	Distributed Estimation in Sensor Networks with Imperfect Model Information: An Adaptive Learning-Based Approach
	Zhou, Qing; Kar, Soummya; Huie, Lauren; Cui, Shuguang
	In: DTIC (2012)
	Abstract: The paper considers the problem of distributed estimation of an unknown deterministic scalar parameter (the target signal) in wireless sensor networks (WSNs), in which each sensor receives a single snapshot of the field. The observation or sensing mode is only partially known at the corresponding nodes, perhaps, due to their limited sensing capabilities or other unpredictable physical factors. Specifically, it is assumed that the observation process at a node switches stochastically between two modes, with mode one corresponding to the desired signal plus noise observation mode (a valid observation), and mode two corresponding to pure noise with no signal information (an invalid observation). With no prior information on the local sensing modes (valid or invalid), the paper introduces a learning-based distributed estimation procedure, the mixed detection-estimation (MDE) algorithm, based on closed-loop interactions between the iterative distributed mode learning and estimation. The online learning (or sensing mode detection) step re-assesses the validity of the local observations at each iteration, thus refining the ongoing estimation update process. The convergence of the MDE algorithm is established analytically. Simulation studies show that, in the high signal-to-noise ratio (SNR) regime, the MDE estimation error converges to that of an ideal (centralized) estimator with perfect information about the node sensing modes. This is in contrast with the estimation performance of a naive average consensus based distributed estimator (with no mode learning), whose estimation error blows up with an increasing SNR. ; See also ADA561051. AOARD-CSP-111007 International Conference on Acoustics, Speech and Signal Processing (37th) (ICASSP 2012) Held in Kyoto, Japan on March 25-30, 2012. U.S. Government or Federal Purpose Rights License., The original document contains color images.
	Keyword: ADAPTIVE SYSTEMS; COMMUNICATIONS NETWORKS; *LEARNING; ALGORITHMS; CONVERGENCE; DETECTION; DETERMINANTS(MATHEMATICS); ERRORS; ESTIMATES; ITERATIONS; Linguistics; NODES; NOISE; OBSERVATION; ONLINE SYSTEMS; PHYSICAL PROPERTIES; PURITY; RADIO LINKS; RADIOTELEPHONES; RATIOS; SCALAR FUNCTIONS; Voice Communications; WSN(WIRELESS SENSOR NETWORKS)
	URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA570274 http://www.dtic.mil/docs/citations/ADA570274
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11	Uncovering and Managing the Impact of Methodological Choices for the Computational Construction of Socio-Technical Networks from Texts
	Diesner, Jana
	In: DTIC (2012)
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12	Visualization of a Text Network Structure Using X3D
	Neiderer, Andrew M.
	In: DTIC (2008)
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13	An MCTAG with Tuples for Coherent Constructions in German
	Timm Lichte
	In: http://www.dei.unipd.it/~fgrammar/fg07/fg07preproc/0010/paper_12.pdf (2007)
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14	The Problem of Ontology Alignment on the Web: A First Report
	Fossati, Davide; Ghidoni, Gabriele; Di Eugenio, Barbara...
	In: DTIC (2006)
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15	Communicating Stuff: The Intercultural Rhizome
	Sussex, Roland. - 2006
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16	Initial Kernel Timing Using a Simple PIM Performance Model
	Katz, Daniel S.; Block, Gary L.; Springer, Paul L....
	In: DTIC AND NTIS (2005)
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17	Applications in pharmacokinetic modeling
	Arnold, Esther. - : uga, 2003
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18	Hypertext and Multimedia for Functional Enhancement of USARIEM Medical Handbooks and Biomedical Simulation Software.
	Reardon, Matthew J.
	In: DTIC AND NTIS (1994)
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19	A Flexible, Parallel Model of Natural Language Generation
	Ward, Nigel
	In: DTIC (1991)
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20	A Formal Theory of C3 and Data Fusion
	Goodman, I. R.
	In: DTIC AND NTIS (1991)
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