In statistics, the score function is the gradient of the log-likelihood function with respect to the parameters, used to measure the sensitivity of the likelihood function to the parameters. The score ...

In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...

ABSTRACT: This survey article illustrates many important current trends and perspectives for the field and their applications, of interest to researchers in modern algebra, mathematical logic and ...

You’re probably familiar with nouns as the words that name people, places, and things. But did you know that nouns don’t just label things; they also serve particular functions in a sentence?

Your working memory, cognitive flexibility, and self-regulation are core components of executive function (EF), an interrelated set of mental skills that lay the foundation for advanced cognitive ...

In the paper, the authors extend a function arising from the Bernoulli trials in probability and involving the gamma function to its largest ranges, nd logarithmically complete monotonicity of these ...

Abstract: We give the first agnostic, efficient, proper learning algorithm for monotone Boolean functions. Given $2^{\tilde{O}(\sqrt{n} / \varepsilon)}$ uniformly ...

Department of Physiology and Biophysics, Weill Cornell Medical College, New York, NY, United States that is the simplicity of Eq. 3, which becomes important for the application to experimental results ...