PyAutoFit is a Python based probabilistic programming language for ... model and fit it to data via a log likelihood function, using a range of non-linear search algorithms (e.g. MCMC, nested sampling ...

This practical guide uses SERP comparisons and Python to group keywords by intent, faster and more intuitively.

Discover how LangChain Sandbox ensures safe Python code execution for AI developers, protecting systems from unverified code ...

AlphaTensor, from 2022, used the reinforcement learning method to produce novel algorithms. Fun Search, from 2024, used an evolutionary method to generate more efficient code for a given problem.

The researchers described a new quantum algorithm that works faster than all known classical ones at finding good solutions to a wide class of optimization problems (which look for the best ...

LinkedIn‘s search algorithm for organizations considers the uniqueness and specificity of an organization’s LinkedIn Page name, as generic names tend to yield broad, less relevant results.

Linear operators and inverse problems are at the core of many of the most used algorithms in signal processing, image processing, and remote sensing. For small-scale problems, matrices can be ...

Search engines have come a long way from relying on exact match keywords. Today, they try to understand the meaning behind ...

In view of this challenge, this paper proposes a resource allocation algorithm for D2D cooperative communication networks based on improved Monte Carlo tree search. First, a double-chain deep ...