A stochastic correlation approach using copula functions offers a flexible alternative. By allowing correlations to vary ...

Nature Research Intelligence Topics enable transformational understanding and discovery in research by categorising any document into meaningful, accessible topics. Read this blog to understand ...

Oxytocin receptor (Oxtr) signaling influences complex social behaviors in diverse species, including social monogamy in prairie voles. How Oxtr regulates specific components of social attachment ...

Graph-based manifold learning is a powerful ... Manifold Learning: A type of non-linear dimensionality reduction technique that seeks to uncover the underlying structure of high-dimensional ...

2021) constructed a graph neural network from the perspective of differential equations for the first time ... networks to learn high-quality node representations without complex nonlinear convolution ...

This method adopts the total information coefficient to capture non-linear dependencies among well-log data and uses graph embeddings to extract spatial ... The well-logging data are decomposed into ...

Using a novel deep learning approach, we evaluated the predictive power of the functional connectome during various states (resting state, movie-watching, and n-back) on episodic memory and working ...

What do you wonder? By The Learning Network A new collection of graphs, maps and charts organized by topic and type from our “What’s Going On in This Graph?” feature. By The Learning ...

Picture: Phando Jikelo/Parliament CAPE TOWN - Police committee chairperson, Ian Cameron, says it's time to reallocate non-essential functions of the VIP Protection Unit. Cameron said that the R2 ...

A multi-dimensional mathematical theory applied to texts belonging to the classical Greek Literature spanning eight centuries ...