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To enable handling long data sequences, Mamba incorporates the Structured State Space sequence model (S4). [2] S4 can effectively and efficiently model long dependencies by combining continuous-time, recurrent, and convolutional models. These enable it to handle irregularly sampled data, unbounded context, and remain computationally efficient ...
This set of models is often referred to collectively as SGP4 due to the frequency of use of that model particularly with two-line element sets produced by NORAD and NASA. These models predict the effect of perturbations caused by the Earth’s shape, drag, radiation, and gravitation effects from other bodies such as the sun and moon.
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Text Template Transformation Toolkit (usually referred to as "T4") is a free and open-source template-based text generation framework. T4 source files are usually denoted by the file extension ".tt". T4 source files are usually denoted by the file extension ".tt".
The Portable Format for Analytics (PFA) is a JSON-based predictive model interchange format conceived and developed by Jim Pivarski. [citation needed] PFA provides a way for analytic applications to describe and exchange predictive models produced by analytics and machine learning algorithms.
Modeller, often stylized as MODELLER, is a computer program used for homology modeling to produce models of protein tertiary structures and quaternary structures (rarer). [2] [3] It implements a method inspired by nuclear magnetic resonance spectroscopy of proteins (protein NMR), termed satisfaction of spatial restraints, by which a set of geometrical criteria are used to create a probability ...
Zu’s making something out of all those extra opportunities, too, scoring 22.7 points per game — nearly double last season’s mark — on 59.2% shooting to go with a league-leading 14 rebounds ...
The actor model in computer science is a mathematical model of concurrent computation that treats an actor as the basic building block of concurrent computation. In response to a message it receives, an actor can: make local decisions, create more actors, send more messages, and determine how to respond to the next message received.