Results 61 to 70 of about 1,577,136 (298)

Using Spreadsheets to Enhance Understanding of Number Theory [PDF]

, 2019
Computer spreadsheets can help elementary school students explore concepts in number theory. We describe a spreadsheet program that can generate all the factors of an integer.
Ploger, Don, Toussaint, Mario
core   +1 more source

JASPAR, the open access database of transcription factor-binding profiles: new content and tools in the 2008 update

Nucleic Acids Res., 2007
JASPAR is a popular open-access database for matrix models describing DNA-binding preferences for transcription factors and other DNA patterns. With its third major release, JASPAR has been expanded and equipped with additional functions aimed at both ...
J. Bryne, Eivind Valen, Man-Hung Eric Tang, T. Marstrand, O. Winther, I. Piedade, A. Krogh, B. Lenhard, A. Sandelin   +8 more
semanticscholar   +1 more source

Serverless linear algebra

ACM Symposium on Cloud Computing, 2020
Datacenter disaggregation provides numerous benefits to both the datacenter operator and the application designer. However switching from the server-centric model to a disaggregated model requires developing new programming abstractions that can achieve ...
Vaishaal Shankar, K. Krauth, Kailas Vodrahalli, Qifan Pu, B. Recht, Ion Stoica, Jonathan Ragan-Kelley, Eric Jonas, S. Venkataraman   +8 more
semanticscholar   +1 more source

Measure Transformer Semantics for Bayesian Machine Learning [PDF]

Logical Methods in Computer Science, 2013
The Bayesian approach to machine learning amounts to computing posterior distributions of random variables from a probabilistic model of how the variables are related (that is, a prior distribution) and a set of observations of variables.
Johannes Borgström, Andrew D Gordon, Michael Greenberg, James Margetson, Jurgen Van Gael   +4 more
doaj   +1 more source

Blang: Bayesian Declarative Modeling of General Data Structures and Inference via Algorithms Based on Distribution Continua

Journal of Statistical Software, 2022
Consider a Bayesian inference problem where a variable of interest does not take values in a Euclidean space. These "non-standard" data structures are in reality fairly common. They are frequently used in problems involving latent discrete factor models,
Alexandre Bouchard-Côté, Kevin Chern, Davor Cubranic, Sahand Hosseini, Justin Hume, Matteo Lepur, Zihui Ouyang, Giorgio Sgarbi   +7 more
doaj   +1 more source

Bid Optimization in Broad-Match Ad auctions

, 2009
Ad auctions in sponsored search support ``broad match'' that allows an advertiser to target a large number of queries while bidding only on a limited number.
Even-dar, Eyal, Mansour, Yishay, Mirrokni, Vahab, Muthukrishnan, S., Nadav, Uri   +4 more
core   +4 more sources

DEVELOPMENT OF R PACKAGE AND EXPERIMENTAL ANALYSIS ON PREDICTION OF THE CO2 COMPRESSIBILITY FACTOR USING GRADIENT DESCENT [PDF]

Journal of Engineering Science and Technology, 2018
Nowadays, many variants of gradient descent (i.e., the methods included in machine learning for regression) have been proposed. Moreover, these algorithms have been widely used to deal with real-world problems.
LALA SEPTEM RIZA, DENDI HANDIAN, RANI MEGASARI, ADE GAFAR ABDULLAH, ASEP BAYU DANI NANDIYANTO, SHAH NAZIR   +5 more
doaj  

Sistem Penunjang Keputusan Untuk Penanganan Penderita Gagal Jantung

ComTech, 2010
Technology is one important factor that supports accuracy result of a disease in health. Along with technology, one’s knowledge could be broadening so he can make one exact decision about specific disease to get maximal result.
Eddy Sutedjo, Dedi Trisnawarman, Ferdinand Hartanto   +2 more
doaj   +1 more source

Exploring the structure of the university-students obsessive–compulsive tendency scale in Iranian university students: a network analysis study

BMC Research Notes, 2023
Introduction A risk factor for developing obsessive–compulsive disorder (OCD) in non-clinical samples is obsessive–compulsive tendencies (OCT). An OCT scale has recently been developed for university students (UOC) and showed promising psychometric ...
Mohammadreza Davoudi, Mitra Sadoughi, Abbas Pourshahbaz, Behrooz Dolatshahi, Ali Nazeri Astaneh   +4 more
doaj   +1 more source

Comparing self‐reported race and genetic ancestry for identifying potential differentially methylated sites in endometrial cancer: insights from African ancestry proportions using machine learning models

Molecular Oncology, EarlyView.
Integrating ancestry, differential methylation analysis, and machine learning, we identified robust epigenetic signature genes (ESGs) and Core‐ESGs in Black and White women with endometrial cancer. Core‐ESGs (namely APOBEC1 and PLEKHG5) methylation levels were significantly associated with survival, with tumors from high African ancestry (THA) showing ...
Huma Asif, J. Julie Kim
wiley   +1 more source