What Is A Hierarchical Models? Hierarchical models, also known as hierarchical statistical models, multilevel models or random-effects models, are tools for analysing data with a nested or grouped ...

Mark J. Brewer, João A. N. Filipe, David A. Elston, Lorna A. Dawson, Robert W. Mayes, Chris Soulsby and Sarah M. Dunn This article introduces a hierarchical model for compositional analysis. Our ...

The production of high-quality three-dimensional assets has long been constrained by the technical expertise and time investment required to create professional-grade models. Hyper3D, the flagship ...

With the proliferation of XML as a new common data format, the problem of managing XML documents has become more critical. New technologies are now available that allow organizations to better manage ...

Threat intel gets useful when you stop chasing feeds and start mapping flows — ULM shows how attacks actually move, so CISOs ...

For Gabriel Petersson, the path to becoming a research scientist at OpenAI didn’t start in a lecture hall but began with a ...

Researchers from BI Norwegian Business School and NHH Norwegian School of Economics have developed a new behavioral ...

Selective unlearning helps mitigate legal risks by allowing hospitals to comply with patient data removal requests. If a ...