以下内容翻译自SEBASTIAN RASCHKA的《Understanding Large Language Models》翻译中有删减。 原文地址:magazine.sebastianraschka.com 大型语言模型席卷了公众的注意力。在短短五年内,大型语言模型——Transformer——几乎完全改变了自然语言处理领域。此外,他们还开始革新计算机视觉和计算生物学等领域。以下列表主要按时间顺序阅...
We describe and compare the views and attitudes of groups of male and female students as they unfold during the use and interaction with the mathematical dynamic models aimed at introducing linear functions. The study had threefold aims: to describe and analyse attitudes toward mathematics and ...
By introducing an explicit time delay and using a -tearing-and-zooming- approach the authors reduce the system to a piecewise linear system with two variables that capture the dynamics of this complex network. A key step in the analysis is the identification of functional subsystems by ...
Estimation of Dynamic Equilibrium Modelseconomic shocksinnovationsThe dynamics of a linear (or linearized) dynamic stochastic economic model can be expressed in terms of matrices (A,B,C,D) that define a state space system. An associated state space system (A,K,C,Sigma) determines a vector ...
The ETFL formulation allows multi-omics integration in thermodynamics-compliant metabolism and expression models. Nat. Commun. 11, 30 (2020). CAS PubMed PubMed Central Google Scholar Vasilakou, E. et al. Current state and challenges for dynamic metabolic modeling. Curr. Opin. Microbiol. 33, ...
[Dynamic paradigm in psychopathology: "chaos theory", from physics to psychiatry]. For the last thirty years, progress in the field of physics, known as "Chaos theory"--or more precisely: non-linear dynamical systems theory--has increased... L Pezard,JL Nandrino - 《Lencéphale》 被引量...
Cutting edge deep learning techniques allow for image segmentation with great speed and accuracy. However, application to problems in materials science is often difficult since these complex models may have difficultly learning meaningful image features
According to the fit statistics (see Appendix B), the intercept-only, linear, quadratic, and piecewise quadratic models provided a poor fit to the data. Given that CFI and TLI for the latent basic model of growth were larger than the recommended level (>0.95) and that RMSEA and SRMR were...
To this end, we consider the development of reward learning through the lens of meta-learning models, in particular meta-reinforcement learning. This computational formalization can inspire new hypotheses and methods for empirical research to understand how features of experienced environments give rise ...
Pattern recognition approaches, such as Dynamic Time Warping (DTW) to recognize driving behavior also appear frequently in literature. DTW allows to group similar mobility patterns even though the corresponding elements in the two series are not exactly aligned with each other. First, for two given...