<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[RSS Feed]]></title><description><![CDATA[RSS Feed]]></description><link>http://direct.ecency.com</link><image><url>http://direct.ecency.com/logo512.png</url><title>RSS Feed</title><link>http://direct.ecency.com</link></image><generator>RSS for Node</generator><lastBuildDate>Fri, 24 Apr 2026 12:03:04 GMT</lastBuildDate><atom:link href="http://direct.ecency.com/created/doctorbme/rss.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[[doctorBME, essay] Between bias and variance]]></title><description><![CDATA[Hello, this is @doctorbme. Today’s topic is a little less complex. When dealing with machine learning, we come across 'bias-variance trade off' at least once. When training an algorithm, the bias that]]></description><link>http://direct.ecency.com/mediteam/@mediteam/doctorbme-essay-between-bias-and-variance</link><guid isPermaLink="true">http://direct.ecency.com/mediteam/@mediteam/doctorbme-essay-between-bias-and-variance</guid><category><![CDATA[mediteam]]></category><dc:creator><![CDATA[mediteam]]></dc:creator><pubDate>Wed, 11 Jul 2018 04:37:24 GMT</pubDate><enclosure url="https://images.ecency.com/p/C3TZR1g81UNaPs7vzNXHueW5ZM76DSHWEY7onmfLxcK2iQHU2hUeFtApCdR1wbP7vfhWQHUSvpB7gZYXAqrx553QEsYmC2Nd4R2bff7jm7SkNBa4CNWeYh4?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[[AI in meal planning] User's condition and activity/feedback that can be applied to AI in meal planning]]></title><description><![CDATA[Hello, this is @doctorbme. Today, we will see what type of information on user's condition and activity can be obtained in terms of designing an AI for meal planning and how it can be applied. Whereas]]></description><link>http://direct.ecency.com/mediteam/@mediteam/ai-in-meal-planning-user-s-condition-and-activity-feedback-that-can-be-applied-to-ai-in-meal-planning</link><guid isPermaLink="true">http://direct.ecency.com/mediteam/@mediteam/ai-in-meal-planning-user-s-condition-and-activity-feedback-that-can-be-applied-to-ai-in-meal-planning</guid><category><![CDATA[mediteam]]></category><dc:creator><![CDATA[mediteam]]></dc:creator><pubDate>Thu, 05 Jul 2018 03:50:18 GMT</pubDate><enclosure url="https://images.ecency.com/p/C3TZR1g81UNaPs7vzNXHueW5ZM76DSHWEY7onmfLxcK2iNqRPMTaHvWFWXWVe54NKniBikuZGChaqg95wjEsdcBUBpHkFn73uqYi1AdUU7hLt9eKbNrquq8?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[[AI in meal planning] Gathering information on various diets and applying people's opinions/conditions]]></title><description><![CDATA[Hello, this is @dotorbme. Following the previous topic of defining the optimization problem for meal planning and how to find the optimum diet, today we will see how to accumulate information on various]]></description><link>http://direct.ecency.com/mediteam/@mediteam/ai-in-meal-planning-gathering-information-on-various-diets-and-applying-people-s-opinions-conditions</link><guid isPermaLink="true">http://direct.ecency.com/mediteam/@mediteam/ai-in-meal-planning-gathering-information-on-various-diets-and-applying-people-s-opinions-conditions</guid><category><![CDATA[mediteam]]></category><dc:creator><![CDATA[mediteam]]></dc:creator><pubDate>Mon, 02 Jul 2018 02:39:51 GMT</pubDate><enclosure url="https://images.ecency.com/p/C3TZR1g81UNaPs7vzNXHueW5ZM76DSHWEY7onmfLxcK2iPUnB59Tohge7ZRrCPiSKJNaYSGEonXdfwvydL9Wqb5KKWHw4EgZegjkdFhTdU7E9Dkhto55Fgz?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[[AI in meal planning] Methods and characteristics of finding the optimum menu through the menu recommendation algorithm]]></title><description><![CDATA[Hello, this is @doctorbme. Following the previous article - Defining the optimization problem in meal planning: first step toward AI application, we will take a closer look at how to find the optimum meal]]></description><link>http://direct.ecency.com/mediteam/@mediteam/ai-in-meal-planning-methods-and-characteristics-of-finding-the-optimum-menu-through-the-menu-recommendation-algorithm</link><guid isPermaLink="true">http://direct.ecency.com/mediteam/@mediteam/ai-in-meal-planning-methods-and-characteristics-of-finding-the-optimum-menu-through-the-menu-recommendation-algorithm</guid><category><![CDATA[mediteam]]></category><dc:creator><![CDATA[mediteam]]></dc:creator><pubDate>Wed, 27 Jun 2018 14:30:57 GMT</pubDate><enclosure url="https://images.ecency.com/p/C3TZR1g81UNaPs7vzNXHueW5ZM76DSHWEY7onmfLxcK2iQCH9yM8z3PNVQVaRTbPNMYK6LqBiXinQrVBUWExNCXNgGJsLndt5mRg81XjkCidyTWmmVzodmY?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[[AI in meal planning] Defining the problem of optimization for meal planning: The first steps of applying artificial intelligence]]></title><description><![CDATA[Hello, this is @doctorbme. This post is very late because I’ve been very tied up with work these days. Today, I would like to talk about how AI can be used in meal planning. In this topic, I am planning]]></description><link>http://direct.ecency.com/mediteam/@mediteam/ai-in-meal-planning-defining-the-problem-of-optimization-for-meal-planning-the-first-steps-of-applying-artificial-intelligence</link><guid isPermaLink="true">http://direct.ecency.com/mediteam/@mediteam/ai-in-meal-planning-defining-the-problem-of-optimization-for-meal-planning-the-first-steps-of-applying-artificial-intelligence</guid><category><![CDATA[mediteam]]></category><dc:creator><![CDATA[mediteam]]></dc:creator><pubDate>Mon, 25 Jun 2018 13:45:39 GMT</pubDate><enclosure url="https://images.ecency.com/p/C3TZR1g81UNaPs7vzNXHueW5ZM76DSHWEY7onmfLxcK2iNzC64NYnUSmFo2LXKBgUy9nVGD7pmqd8payVLbPX31sZn5VHHrwsJa1Xntq9bhEHim9wXayqGr?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[[AI in meal planning] 여러 식단에 대한 정보를 쌓고, 사람들의 의견/상태를 반영하기]]></title><description><![CDATA[안녕하세요, @doctorbme 입니다. 오늘은 앞서 살펴본, 식단 구성에 대한 최적화 문제 정의와 최적 식단을 찾는 방법에 이어, 여러 식단에 대한 정보를 쌓고, 식단에 대한 사람들의 의견/상태를 반영하는 방법에 대해 알아보도록 하겠습니다. 그림 1. 여러 음식들과 IBM watson 우리는 음식을 통해, 새로운 조리법을 발견할 수 있을까요? 레시피의 새로운]]></description><link>http://direct.ecency.com/kr/@doctorbme/c33mn-ai-in-meal-planning</link><guid isPermaLink="true">http://direct.ecency.com/kr/@doctorbme/c33mn-ai-in-meal-planning</guid><category><![CDATA[kr]]></category><dc:creator><![CDATA[doctorbme]]></dc:creator><pubDate>Fri, 06 Apr 2018 07:07:18 GMT</pubDate><enclosure url="https://images.ecency.com/p/2N61tyyncFaFnNFKLegVvzmsrMAExSDXzsHdqwaiRxe1AKmXqxWHA753v1cVKjoGbKagCGvS12fAsX6CRp8hX1kLmEAQYmiNeJ45PojS5cvaxR41wyVjptMtADX5Kq5pRWAusYterjJE?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[[AI in meal planning] 식단 추천 알고리즘에서 최적 식단을 찾는 방법들과 특성]]></title><description><![CDATA[안녕하세요, @doctorbme 입니다. 이번에는 저번 글 - 식단 계획에서의 최적화 문제 정의: 인공지능 적용을 위한 첫걸음에 이어서, 식단 계획을 위해 정의된 최적화 문제에서 어떠한 방식으로 최적 식단을 찾아야 하는 것인지에 대해 살펴보도록 하겠습니다. 저번 글에서 식단 선호도 함수 f에 대해 제한조건 h,g 를 바탕으로 f를 최대화하는 식단의 집합 x를]]></description><link>http://direct.ecency.com/kr/@doctorbme/51gkpm-ai-in-meal-planning</link><guid isPermaLink="true">http://direct.ecency.com/kr/@doctorbme/51gkpm-ai-in-meal-planning</guid><category><![CDATA[kr]]></category><dc:creator><![CDATA[doctorbme]]></dc:creator><pubDate>Mon, 02 Apr 2018 12:28:30 GMT</pubDate><enclosure url="https://images.ecency.com/p/2gsjgna1uruvUuS7ndh9YqVwYGPLVszbFLwwpAYXYvXXgNUoXgKJSQVceRQCfQN7nPKgsAvXkZyYVHkV1MVaGHS1q5Ev8vUDBDXdZ6Hr63PFgQvT1g?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[[AI in meal planning]  식단 계획에서의 최적화 문제 정의: 인공지능 적용을 위한 첫걸음]]></title><description><![CDATA[안녕하세요, @doctorbme 입니다. 생업이 매우 바빠져서 글이 늦었습니다. 이번에는 음식이나 식단을 구성하는 데에 있어서 인공지능이 어떻게 쓰일 수 있는지 고찰해보는 시간을 가져볼까 합니다. 이번 주제의 경우에는, 여러 측면으로 살펴볼 예정이기에, 연작으로 계획하고 있습니다. 정상인을 대상으로 하는 식단 계획에서의 인공지능 활용 및 고려사항 환자를 대상으로]]></description><link>http://direct.ecency.com/kr/@doctorbme/ai-in-meal-planning</link><guid isPermaLink="true">http://direct.ecency.com/kr/@doctorbme/ai-in-meal-planning</guid><category><![CDATA[kr]]></category><dc:creator><![CDATA[doctorbme]]></dc:creator><pubDate>Sat, 31 Mar 2018 13:13:18 GMT</pubDate><enclosure url="https://images.ecency.com/p/2N61tyyncFaFnNFKLegVvzmsrMAExSDXzsHdqwaiS2VLKZhtuzsupPi3QyvseT5FZ1jiihRFMdfkGidhGbp6utsQ34VKyKED28FifyXKXzk55LRtKH3XrhaCb1k5JYFsywcuKEiY5QSJ?format=match&amp;mode=fit" length="0" type="false"/></item></channel></rss>