Discovery of the molecular candidates for applications in drug targets, biomolecular systems, catalysts, photovoltaics, organic electronics, and batteries, necessitates development of machine learning algorithms capable of rapid exploration of the ch...
Armand; Grave, Edouard; Riedel, Sebastian (October 2023). "Improving Wikipedia verifiability with AI". Nature Machine Intelligence. 5 (10): 1142–1148. arXiv:2207
defeated Kerry Morton to retain the CCW Heavyweight Championship 14 TNA Snake Eyes Paradise, Nevada Kazuchika Okada and Motor City Machine Guns (Chris
Covariate adjustment is an approach to improve the precision of trial analyses by adjusting for baseline variables that are prognostic of the primary endpoint. Motivated by the SEARCH Universal HIV Test-and-Treat Trial (2013-2017), we tell our story...
Estimating machine learning performance 'in the wild' is both an important and unsolved problem. In this paper, we seek to examine, understand, and predict the pointwise competence of classification models. Our contributions are twofold: First, we es...
How humans use computers has evolved from human-machine interfaces to human-human computer mediated communication. Whilst the field of animal-computer interaction has roots in HCI, technology developed in this area currently only supports animal-comp...
Machine learning approach to classify music based on genres (⭐ 407)
Automated music genre classification using machine learning (⭐ 201)
I am going to get a lot of hate here… I get that Italy invented the espresso machine and laid the foundation for modern coffee culture, but honestly, the actual coffee there? Often over-roasted, bi...
This paper applies statistical learning techniques to an observational Quantified-Self (QS) study to build a descriptive model of sleep quality. A total of 472 days of my sleep data was collected with an Oura ring and combined with lifestyle, environ...
Home sale prices are formed given the transaction actors economic interests, which include government, real estate dealers, and the general public who buy or sell properties. Generating an accurate property price prediction model is a major challenge...
To make this post i was inspired by u/crystaldoe post here Some of u may dont know the "expert" So im gonna tell someting about him - Laundry evangelist aka patric is so called "expert" - he writed f...
Graphs, and sequences of growing graphs, can be used to specify the architecture of mathematical models in many fields including machine learning and computational science. Here we define structured graph "lineages" (ordered by level number) that gro...
In this study, self-optimization of a grinding machine is demonstrated with respect to production costs, while fulfilling quality and safety constraints. The quality requirements of the final workpiece are defined with respect to grinding burn and su...
Machine learning techniques are playing more and more important roles in finance market investment. However, finance quantitative modeling with conventional supervised learning approaches has a number of limitations. The development of deep reinforce...
2014, at the Wayback Machine Võ Hương-An. Từ điển nhà Nguyễn. San Jose, California, United States: Nhà xuất bản Nam Việt, 2012. Page 515 (in Vietnamese)
This paper reviews the current progress in applying machine learning (ML) tools to solve NP-hard combinatorial optimization problems, with a focus on routing problems such as the traveling salesman problem (TSP) and the vehicle routing problem (VRP)....
Good afternoon, everyone! Now that I have nasty blisters forming on my hands from wringing a bathtub's worth of clothes that I hand washed, I feel the time has come to seek sorely needed advice on my...
When deploying artificial skills, decision-makers often assume that layering human oversight is a safe harbor that mitigates the risks of full automation in high-complexity tasks. This paper formally challenges the economic validity of this widesprea...
Benchmark data sets are of vital importance in machine learning research, as indicated by the number of repositories that exist to make them publicly available. Although many of these are usable in the stream mining context as well, it is less obviou...