363,909 research outputs found

    Collaborative Participant Notes from the 2019 ETD Symposium at Purdue University on May 23, 2019

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    This collaborative notes document was shared and edited in real-time by participants of the Symposium on Electronic Theses and Dissertations (ETD) on May 23, 2019, at Purdue University

    Taking the Plunge: Requiring the ETD

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    It made sense for Caltech, the California Institute of Technology (a private, technically focused, U.S. university, http://www.caltech.edu), to go electronic when it comes to theses. It took, however, more than three years: From March 1999 when Prof. Ed Fox of the Virginia Technical University spoke at Caltech to July 2002 when ETDs became required for all PhD candidates. How was it done and what are the lessons learned

    Generalized Emphatic Temporal Difference Learning: Bias-Variance Analysis

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    We consider the off-policy evaluation problem in Markov decision processes with function approximation. We propose a generalization of the recently introduced \emph{emphatic temporal differences} (ETD) algorithm \citep{SuttonMW15}, which encompasses the original ETD(λ\lambda), as well as several other off-policy evaluation algorithms as special cases. We call this framework \ETD, where our introduced parameter β\beta controls the decay rate of an importance-sampling term. We study conditions under which the projected fixed-point equation underlying \ETD\ involves a contraction operator, allowing us to present the first asymptotic error bounds (bias) for \ETD. Our results show that the original ETD algorithm always involves a contraction operator, and its bias is bounded. Moreover, by controlling β\beta, our proposed generalization allows trading-off bias for variance reduction, thereby achieving a lower total error.Comment: arXiv admin note: text overlap with arXiv:1508.0341

    Effector-triggered defence against apoplastic fungal pathogens

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    Copyright 2014 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license CC BY 3.0 (http://creativecommons.org/licenses/by/3.0/). hR gene-mediated host resistance against apoplastic fungal pathogens is not adequately explained by the terms pathogen-associated molecular pattern (PAMP)-triggered immunity (PTI) or effector-triggered immunity (ETI). Therefore, it is proposed that this type of resistance is termed ‘effector-triggered defence’ (ETD). Unlike PTI and ETI, ETD is mediated by R genes encoding cell surface-localised receptor-like proteins (RLPs) that engage the receptor-like kinase SOBIR1. In contrast to this extracellular recognition, ETI is initiated by intracellular detection of pathogen effectors. ETI is usually associated with fast, hypersensitive host cell death, whereas ETD often triggers host cell death only after an elapsed period of endophytic pathogen growth. In this opinion, we focus on ETD responses against foliar fungal pathogens of cropsPeer reviewe

    ETD Submission Agreement

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    Submission agreement a student agrees to in order to upload their thesis or dissertation to ScholarWorks@Georgia State University. THIS VERSION IS SUPERSEDED BY THE JULY 2018 VERSIO
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