www.bing.com/ck/a?!&&p=74982b1412c4641606e9099a81381f98a15834c7072aa9c852a7e0007be269e8JmltdHM9MTc3MjQwOTYwMA&ptn=3&ver=2&hsh=4&fclid=3dd68f5c-cd7e-63f7-1717-984dccb56274&u=a1aHR0cHM6Ly9lbi53aWtpcGVkaWEub3JnL3dpa2kvS2VsbGVyX01hY2hpbmU&ntb=1
Patent #2,956,520 for a "candy cane forming machine" was issued on October 18, 1960 to Fr. Gregory H. Keller, a Roman Catholic priest who aside from his parish ministry helped his brother-in-law with …
www.bing.com/ck/a?!&&p=fcb4d5d48f64ae8eb05af9846c0088f016eed22b7ebe6a8214373e71b1ed7a5cJmltdHM9MTc3MjQwOTYwMA&ptn=3&ver=2&hsh=4&fclid=3dd68f5c-cd7e-63f7-1717-984dccb56274&u=a1aHR0cHM6Ly93d3cubGF0aW5pdXNhLmNvbS9jYW5keS1jYW5lLW1hY2hpbmU&ntb=1
The candy cane machine from our manufacturing units is in-built with specialized features allowing you to produce high-quality candies for your business supplies.
arxiv.org/abs/2103.15753v2
A common privacy issue in traditional machine learning is that data needs to be disclosed for the training procedures. In situations with highly sensitive data such as healthcare records, accessing this information is challenging and often prohibited...
arxiv.org/abs/2111.11170v1
This paper introduces a new Romanian speech corpus from the ROBIN project, called ROBIN Technical Acquisition Speech Corpus (ROBINTASC). Its main purpose was to improve the behaviour of a conversational agent, allowing human-machine interaction in th...
en.wikipedia.org/wiki/Paul_Krugman
September 15, 2015, at the Wayback Machine, "What is wrong with Japan?", Nihon Keizai Shinbun, 1997 [3] Archived September 11, 2009, at the Wayback Machine Krugman
arxiv.org/abs/2110.11999v1
The paradigm of machine learning and artificial intelligence has pervaded our everyday life in such a way that it is no longer an area for esoteric academics and scientists putting their effort to solve a challenging research problem. The evolution i...
arxiv.org/abs/2203.00379v3
Wilderness areas offer important ecological and social benefits and there are urgent reasons to discover where their positive characteristics and ecological functions are present and able to flourish. We apply a novel explainable machine learning tec...
arxiv.org/abs/2404.01877v2
Fairness in machine learning (ML) has garnered significant attention. However, current research has mainly concentrated on the distributive fairness of ML models, with limited focus on another dimension of fairness, i.e., procedural fairness. In this...
arxiv.org/abs/1410.5491v1
Building machine translation (MT) test sets is a relatively expensive task. As MT becomes increasingly desired for more and more language pairs and more and more domains, it becomes necessary to build test sets for each case. In this paper, we invest...
arxiv.org/abs/2312.00912v1
The field of unsupervised machine translation has seen significant advancement from the marriage of the Transformer and the back-translation algorithm. The Transformer is a powerful generative model, and back-translation leverages Transformer's high-...
arxiv.org/abs/2004.03955v6
The simulation of biological dendrite computations is vital for the development of artificial intelligence (AI). This paper presents a basic machine learning algorithm, named Dendrite Net or DD, just like Support Vector Machine (SVM) or Multilayer Pe...
arxiv.org/abs/2306.01618v1
This paper explores the use of clustering methods and machine learning algorithms, including Natural Language Processing (NLP), to identify and classify problems identified in credit risk models through textual information contained in validation rep...
arxiv.org/abs/2406.08740v2
Explainability is needed to establish confidence in machine learning results. Some explainable methods take a post hoc approach to explain the weights of machine learning models, others highlight areas of the input contributing to decisions. These me...
arxiv.org/abs/2010.06479v1
Credit card fraud has emerged as major problem in the electronic payment sector. In this survey, we study data-driven credit card fraud detection particularities and several machine learning methods to address each of its intricate challenges with th...
www.reddit.com/r/GameDevSolutions/comments/1ow0z5k/valve_announces_nextgen_steam_machine_says_its/
Valve has announced a return to its Steam Machine PC / console hybrid hardware alongside a new version of the Steam Controller. As part of a big day for Valve hardware announcements, Valve confirmed ...
arxiv.org/abs/1908.07430v2
The concept of machine learning configuration interaction (MLCI) [J. Chem. Theory Comput. 2018, 14, 5739], where an artificial neural network (ANN) learns on the fly to select important configurations, is further developed so that accurate ab initio...
en.wikipedia.org/wiki/Staber_Industries
efficiency top-loading horizontal-axis washing machine, a clothes dryer, and a clothes drying cabinet. The Staber washing machine is the only top loaded horizontal-axis
en.wikipedia.org/wiki/Clothes_dryer
process. Tumble dryers are sometimes integrated with a washing machine, in the form of washer-dryer combos, which are essentially a front loading washing machine
arxiv.org/abs/2112.11429v3
Can we improve the modeling of urban land surface processes with machine learning (ML)? A prior comparison of urban land surface models (ULSMs) found that no single model is 'best' at predicting all common surface fluxes. Here, we develop an urban ne...
github.com/internetarchive/wayback-machine-webextension
A web browser extension for Chrome, Firefox, Edge, and Safari 14. (⭐ 781)
