Anthropic research reveals AI models perform worse with extended reasoning time, challenging industry assumptions about test-time compute scaling in enterprise deployments.

After fitting a nonlinear regression (asymptotic regression) through origin characterized by asymptotic value—Asym and the logarithm of the rate constant—lrc to the audiological data of every patient ...

This review provides a detailed examination of experimental mouse models used to study liver fibrosis regression, both in vivo and ex vivo, highlighting their relevance, advantages, and limitations.

According to a Bitcoin researcher, a quantile regression model indicates that there is a 99% percentile target for BTC at $275,000 by the end of November 2025.

The regression object is named model and is instantiated by setting up its parameters as a Python Dictionary collection named params. The main challenge when using LightGBM is wading through the ...

This regression model was chosen to provide a mechanistic understanding of the organic matter degradation process. In the equation, CI exhibited a rise from its lowest values in surface water, towards ...

About this issue Abstract This paper studies the joint limiting behavior of extreme eigenvalues and trace of large sample covariance matrix in a generalized spiked population model, where the ...