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TelegramThe weather estimator called the last date for heat return to Moscow 06:26 The hot weather will o...<br><br><a href="https://socialbites.ca/latest-news/796045.html" rel="nofollow noopener" target="_blank">https://socialbites.ca/latest-news/796045.html</a><br><br><a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/Latest" target="_blank">#Latest</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/News" target="_blank">#News</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/called" target="_blank">#called</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/date" target="_blank">#date</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/Estimator" target="_blank">#Estimator</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/Heat" target="_blank">#Heat</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/Moscow" target="_blank">#Moscow</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/return" target="_blank">#return</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/Roman" target="_blank">#Roman</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/Wilfand" target="_blank">#Wilfand</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/weather" target="_blank">#weather</a><br><br><a href="https://awakari.com/pub-msg.html?id=HmxBZYCF0iVMzm6QtBPDtokAuy8" rel="nofollow noopener" target="_blank">Event Attributes</a>
JMLR<p>'Error estimation and adaptive tuning for unregularized robust M-estimator', by Pierre C. Bellec, Takuya Koriyama.</p><p><a href="http://jmlr.org/papers/v26/24-0060.html" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">http://</span><span class="ellipsis">jmlr.org/papers/v26/24-0060.ht</span><span class="invisible">ml</span></a> <br> <br><a href="https://sigmoid.social/tags/estimation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>estimation</span></a> <a href="https://sigmoid.social/tags/estimators" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>estimators</span></a> <a href="https://sigmoid.social/tags/estimator" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>estimator</span></a></p>
OpenSourceFree tool: Animation Render Time Estimator for Blender Handy free Blender add-on displays an esti...<br><br><a href="https://www.cgchannel.com/2025/01/free-tool-animation-render-time-estimator-for-blender/" rel="nofollow noopener" target="_blank">https://www.cgchannel.com/2025/01/free-tool-animation-render-time-estimator-for-blender/</a><br><br><a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/Free" target="_blank">#Free</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/Resources" target="_blank">#Resources</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/News" target="_blank">#News</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/&amp;" target="_blank">#&amp;</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/Events" target="_blank">#Events</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/add-on" target="_blank">#add-on</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/animation" target="_blank">#animation</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/Animation" target="_blank">#Animation</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/Render" target="_blank">#Render</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/Time" target="_blank">#Time</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/Estimator" target="_blank">#Estimator</a><br><br><a href="https://awakari.com/pub-msg.html?id=4GmqUCtFpezlHKjhSxxE3UChwuW" rel="nofollow noopener" target="_blank">Event Attributes</a>
JMLR<p>'Exponential Tail Local Rademacher Complexity Risk Bounds Without the Bernstein Condition', by Varun Kanade, Patrick Rebeschini, Tomas Vaskevicius.</p><p><a href="http://jmlr.org/papers/v25/23-0063.html" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">http://</span><span class="ellipsis">jmlr.org/papers/v25/23-0063.ht</span><span class="invisible">ml</span></a> <br> <br><a href="https://sigmoid.social/tags/rademacher" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rademacher</span></a> <a href="https://sigmoid.social/tags/estimators" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>estimators</span></a> <a href="https://sigmoid.social/tags/estimator" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>estimator</span></a></p>
JMLR<p>'Linear Regression With Unmatched Data: A Deconvolution Perspective', by Mona Azadkia, Fadoua Balabdaoui.</p><p><a href="http://jmlr.org/papers/v25/22-0930.html" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">http://</span><span class="ellipsis">jmlr.org/papers/v25/22-0930.ht</span><span class="invisible">ml</span></a> <br> <br><a href="https://sigmoid.social/tags/deconvolution" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>deconvolution</span></a> <a href="https://sigmoid.social/tags/identifiability" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>identifiability</span></a> <a href="https://sigmoid.social/tags/estimator" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>estimator</span></a></p>
JMLR<p>'Identifiability and Asymptotics in Learning Homogeneous Linear ODE Systems from Discrete Observations', by Yuanyuan Wang, Wei Huang, Mingming Gong, Xi Geng, Tongliang Liu, Kun Zhang, Dacheng Tao.</p><p><a href="http://jmlr.org/papers/v25/22-1159.html" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">http://</span><span class="ellipsis">jmlr.org/papers/v25/22-1159.ht</span><span class="invisible">ml</span></a> <br> <br><a href="https://sigmoid.social/tags/estimation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>estimation</span></a> <a href="https://sigmoid.social/tags/estimator" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>estimator</span></a> <a href="https://sigmoid.social/tags/odes" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>odes</span></a></p>
Habr<p>RICEF-классификация разработок и настроек для оценки трудозатрат</p><p>Внедрение практически любой ERP-системы требует как ее донастройки, так и доработки. Важное место в ходе имплементации имеют именно программные доработки, занимающие львиную долю проекта по сравнению с активностями кастомизации. От того, как правильно вы подойдете к вопросу планирования и реализации доработок, зависит успех ERP-проекта. Согласно статистике проектов внедрения, более 40% бизнес-потребностей пользователей требуют программной доработки, следовательно качественное планирование работ на проекте немыслимо без унифицированного подхода к оценке плановых трудозатрат на реализацию [1]. В связи с этим, в этой статье хотелось бы затронуть вопрос плановой оценки трудозатрат доработок и донастроек корпоративной информационной системы. Начнем с основ: потребности заказчика в информационной системе покрываются или ее доработкой, или ее донастройкой, или уже реализованы и не требуют дополнительных усилий. Первые два исхода задают Gap-область, последняя – Fit (рис. 1). Все доделки Gap-области можно классифицировать согласно RICEFS подходу [2], что представляет собой сокращение от англоязычных слов: Report, Interface, Conversion, Enhancement, Form и S (отчет, интерфейс, программа обработки данных, расширение, печатная форма и настройка). Введя термин сложности (низкая, средняя, высокая и очень высокая), можно построить элементарный Оценщик (от английского Estimate, оценивать) [3]. В нем для каждой пары «Тип разработки – сложность» эмпирически задаются плановые трудозатраты для этапов проектирования и разработки, то есть ресурсы функциональных консультантов на фазе дизайна и разработчиков для этапа разработки (табл. 2). Более сложные формы оценщика включают дополнительные параметры: новая разработка или модификация имеющейся, %-переиспользования, а также оценку трудозатрат не только для фаз проектирования и реализации, но и этапов анализа, теста и перехода.</p><p><a href="https://habr.com/ru/articles/801475/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">habr.com/ru/articles/801475/</span><span class="invisible"></span></a></p><p><a href="https://zhub.link/tags/RICEF" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RICEF</span></a> <a href="https://zhub.link/tags/%D1%82%D1%80%D1%83%D0%B4%D0%BE%D0%B7%D0%B0%D1%82%D1%80%D0%B0%D1%82%D1%8B" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>трудозатраты</span></a> <a href="https://zhub.link/tags/%D1%82%D1%80%D1%83%D0%B4%D0%BE%D0%B7%D0%B0%D1%82%D1%80%D0%B0%D1%82%D1%8B_%D0%BF%D1%80%D0%B8_%D1%80%D0%B0%D0%B7%D1%80%D0%B0%D0%B1%D0%BE%D1%82%D0%BA%D0%B5" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>трудозатраты_при_разработке</span></a> <a href="https://zhub.link/tags/%D0%BE%D1%86%D0%B5%D0%BD%D1%89%D0%B8%D0%BA_%D1%80%D0%B0%D0%B7%D1%80%D0%B0%D0%B1%D0%BE%D1%82%D0%BE%D0%BA" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>оценщик_разработок</span></a> <a href="https://zhub.link/tags/estimator" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>estimator</span></a> <a href="https://zhub.link/tags/%D1%87%D0%B5%D0%BB%D0%BE%D0%B2%D0%B5%D0%BA%D0%BE%D0%B4%D0%BD%D0%B8" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>человекодни</span></a> <a href="https://zhub.link/tags/%D1%87%D0%B5%D0%BB%D0%BE%D0%B2%D0%B5%D0%BA%D0%BE%D1%87%D0%B0%D1%81%D1%8B" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>человекочасы</span></a> <a href="https://zhub.link/tags/gap" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>gap</span></a> <a href="https://zhub.link/tags/fit" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>fit</span></a></p>
JMLR<p>'Estimating the Minimizer and the Minimum Value of a Regression Function', by Arya Akhava, Davit Gogolashvili, Alexandre B. Tsybakov.</p><p><a href="http://jmlr.org/papers/v25/22-1396.html" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">http://</span><span class="ellipsis">jmlr.org/papers/v25/22-1396.ht</span><span class="invisible">ml</span></a> <br> <br><a href="https://sigmoid.social/tags/minimizer" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>minimizer</span></a> <a href="https://sigmoid.social/tags/estimation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>estimation</span></a> <a href="https://sigmoid.social/tags/estimator" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>estimator</span></a></p>
katch wreck<p>`Intuitively, if the restricted <a href="https://mastodon.social/tags/estimator" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>estimator</span></a> is near the maximum of the <a href="https://mastodon.social/tags/likelihood" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>likelihood</span></a> function, the score should not differ from zero by more than sampling error. While the finite sample <a href="https://mastodon.social/tags/distributions" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>distributions</span></a> of score tests are generally unknown, they have an <a href="https://mastodon.social/tags/asymptotic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>asymptotic</span></a> χ2-distribution under the null <a href="https://mastodon.social/tags/hypothesis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>hypothesis</span></a> as first proved by C. R. Rao in 1948, a fact that can be used to determine statistical <a href="https://mastodon.social/tags/significance" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>significance</span></a>.` </p><p><a href="https://en.wikipedia.org/wiki/Score_test" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">en.wikipedia.org/wiki/Score_te</span><span class="invisible">st</span></a></p><p><a href="https://mastodon.social/tags/statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statistics</span></a> <a href="https://mastodon.social/tags/stats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>stats</span></a> <a href="https://mastodon.social/tags/significanceTest" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>significanceTest</span></a> <a href="https://mastodon.social/tags/significanceTesting" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>significanceTesting</span></a></p>
JMLR<p>'Non-Asymptotic Guarantees for Robust Statistical Learning under Infinite Variance Assumption', by Lihu Xu, Fang Yao, Qiuran Yao, Huiming Zhang.</p><p><a href="http://jmlr.org/papers/v24/22-0034.html" rel="nofollow noopener" target="_blank"><span class="invisible">http://</span><span class="ellipsis">jmlr.org/papers/v24/22-0034.ht</span><span class="invisible">ml</span></a> <br> <br><a href="https://sigmoid.social/tags/estimators" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>estimators</span></a> <a href="https://sigmoid.social/tags/estimator" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>estimator</span></a> <a href="https://sigmoid.social/tags/estimations" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>estimations</span></a></p>
JMLR<p>'Doubly Robust Stein-Kernelized Monte Carlo Estimator: Simultaneous Bias-Variance Reduction and Supercanonical Convergence', by Henry Lam, Haofeng Zhang.</p><p><a href="http://jmlr.org/papers/v24/21-1313.html" rel="nofollow noopener" target="_blank"><span class="invisible">http://</span><span class="ellipsis">jmlr.org/papers/v24/21-1313.ht</span><span class="invisible">ml</span></a> <br> <br><a href="https://sigmoid.social/tags/stein" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>stein</span></a> <a href="https://sigmoid.social/tags/kernelized" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>kernelized</span></a> <a href="https://sigmoid.social/tags/estimator" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>estimator</span></a></p>
Chuck Darwin<p>How much of your bank deposits are <a href="https://c.im/tags/FDIC" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FDIC</span></a> protected ?</p><p>If you are unsure whether your money is federally insured, use the FDIC’s tool, the Electronic Deposit Insurance Estimator. </p><p>It helps consumers figure out on a per-bank basis how much of their money, if any, exceeds coverage limits.
Insurance works by ownership categories, and each is insured separately for up to $250,000. </p><p>The four most common categories are: individual, joint, retirement and trust. </p><p><a href="https://www.washingtonpost.com/business/2023/03/10/faq-fdic-insurance/" rel="nofollow noopener" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">washingtonpost.com/business/20</span><span class="invisible">23/03/10/faq-fdic-insurance/</span></a></p><p><a href="https://c.im/tags/Electronic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Electronic</span></a> <a href="https://c.im/tags/Deposit" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Deposit</span></a> <a href="https://c.im/tags/Insurance" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Insurance</span></a> <a href="https://c.im/tags/Estimator" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Estimator</span></a> (EDIE)</p><p><a href="https://edie.fdic.gov/" rel="nofollow noopener" target="_blank"><span class="invisible">https://</span><span class="">edie.fdic.gov/</span><span class="invisible"></span></a></p>