From 70b4d89f1860d10f9ebdf632e501c4c85cdbcbb1 Mon Sep 17 00:00:00 2001 From: Alp Kucukelbir Date: Mon, 5 Sep 2022 14:35:18 -0400 Subject: [PATCH] revert twoside and add funding disclosure --- jmlr2e.sty | 6 ++++-- sample.pdf | Bin 0 -> 175074 bytes sample.tex | 57 ++++++++++++++++++----------------------------------- 3 files changed, 23 insertions(+), 40 deletions(-) create mode 100644 sample.pdf diff --git a/jmlr2e.sty b/jmlr2e.sty index ff0a2e7..bfdeb51 100755 --- a/jmlr2e.sty +++ b/jmlr2e.sty @@ -19,6 +19,8 @@ % Fixed section counter in appendix % Last edited Sept 2, 2020 Alp Kucukelbir % Do not define proof environemtn if already defined. (Thank you James Martens) +% Last edited Sept 5, 2022 Alp Kucukelbir +% Disclose funding. % % The name of this file should follow the article document % type, e.g. \documentstyle[jmlr]{article} @@ -92,7 +94,7 @@ \textwidth 6.0 true in % Width of text line. \widowpenalty=10000 \clubpenalty=10000 -\@twosidefalse \@mparswitchtrue \def\ds@draft{\overfullrule 5pt} +\@twosidetrue \@mparswitchtrue \def\ds@draft{\overfullrule 5pt} %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % S E C T I O N S @@ -340,7 +342,7 @@ are provided at \url{http://jmlr.org/papers/v#1/#6.html}.\hfill}}% \def\belowstrut#1{\rule[-#1]{0in}{#1}\ignorespaces} % Acknowledgments -\long\def\acks#1{\vskip 0.3in\noindent{\large\bf Acknowledgments}\vskip 0.2in +\long\def\acks#1{\vskip 0.3in\noindent{\large\bf Acknowledgments and Disclosure of Funding}\vskip 0.2in \noindent #1} % Research Note diff --git a/sample.pdf b/sample.pdf new file mode 100644 index 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Jordan} +\usepackage{lastpage} +\jmlrheading{23}{2022}{1-\pageref{LastPage}}{1/21; Revised 5/22}{9/22}{21-0000}{Author One and Author Two} % Short headings should be running head and authors last names -\ShortHeadings{Learning with Mixtures of Trees}{Meil\u{a} and Jordan} +\ShortHeadings{Sample JMLR Paper}{One and Two} \firstpageno{1} \begin{document} -\title{Learning with Mixtures of Trees} +\title{Sample JMLR Paper} -\author{\name Marina Meil\u{a} \email mmp@stat.washington.edu \\ +\author{\name Author One \email one@stat.washington.edu \\ \addr Department of Statistics\\ University of Washington\\ Seattle, WA 98195-4322, USA \AND - \name Michael I.\ Jordan \email jordan@cs.berkeley.edu \\ - \addr Division of Computer Science and Department of Statistics\\ + \name Author Two \email two@cs.berkeley.edu \\ + \addr Division of Computer Science\\ University of California\\ Berkeley, CA 94720-1776, USA} -\editor{Kevin Murphy and Bernhard Sch{\"o}lkopf} +\editor{My editor} \maketitle \begin{abstract}% <- trailing '%' for backward compatibility of .sty file -This paper describes the mixtures-of-trees model, a probabilistic -model for discrete multidimensional domains. Mixtures-of-trees -generalize the probabilistic trees of \citet{chow:68} -in a different and complementary direction to that of Bayesian networks. -We present efficient algorithms for learning mixtures-of-trees -models in maximum likelihood and Bayesian frameworks. -We also discuss additional efficiencies that can be -obtained when data are ``sparse,'' and we present data -structures and algorithms that exploit such sparseness. -Experimental results demonstrate the performance of the -model for both density estimation and classification. -We also discuss the sense in which tree-based classifiers -perform an implicit form of feature selection, and demonstrate -a resulting insensitivity to irrelevant attributes. +\blindtext \end{abstract} \begin{keywords} - Bayesian networks, mixture models, Chow-Liu trees + keyword one, keyword two, keyword three \end{keywords} \section{Introduction} -Probabilistic inference has become a core technology in AI, -largely due to developments in graph-theoretic methods for the -representation and manipulation of complex probability -distributions~\citep{pearl:88}. Whether in their guise as -directed graphs (Bayesian networks) or as undirected graphs (Markov -random fields), \emph{probabilistic graphical models} have a number -of virtues as representations of uncertainty and as inference engines. -Graphical models allow a separation between qualitative, structural -aspects of uncertain knowledge and the quantitative, parametric aspects -of uncertainty...\\ +\blindmathpaper -{\noindent \em Remainder omitted in this sample. See http://www.jmlr.org/papers/ for full paper.} +Here is a citation \cite{chow:68}. -% Acknowledgements should go at the end, before appendices and references +% Acknowledgements and Disclosure of Funding should go at the end, before appendices and references -\acks{We would like to acknowledge support for this project -from the National Science Foundation (NSF grant IIS-9988642) -and the Multidisciplinary Research Program of the Department -of Defense (MURI N00014-00-1-0637). } +\acks{All acknowledgements go at the end of the paper before appendices and references. +Moreover, you are required to declare funding (financial activities supporting the +submitted work) and competing interests (related financial activities outside the submitted work). +More information about this disclosure can be found on the JMLR website.} % Manual newpage inserted to improve layout of sample file - not % needed in general before appendices/bibliography.