编程中,parameter、argument翻译成什么中文最好? - 知乎
编程中,parameter、argument翻译成什么中文最好? 引用: The term parameter is used to describe the names for values that are ex… 显示全部 关注者 96
编程中,parameter、argument翻译成什么中文最好? 引用: The term parameter is used to describe the names for values that are ex… 显示全部 关注者 96
Parameter generation has long struggled to match the scale of today large vision and language models, curbing its broader utility. In this paper, we introduce Recurrent Diffusion for Large Scale Parameter Generation (RPG), a novel framework that gene...
This paper presents a multi-objective digital PID controller design method using the parameter space approach of robust control. Absolute stability is treated first by finding the digital PID controller gain parameter space corresponding to closed lo...
The Parameter-less Genetic Algorithm was first presented by Harik and Lobo in 1999 as an alternative to the usual trial-and-error method of finding, for each given problem, an acceptable set-up of the parameter values of the genetic algorithm. Since...
Self-concordant barriers are essential for interior-point algorithms in conic programming. To speed up the convergence it is of interest to find a barrier with the lowest possible parameter for a given cone. The barrier parameter is a non-convex func...
The data on 13 typologically different languages have been processed using a two-parameter word length model, based on 1-displaced uniform Poisson distribution. Statistical dependencies of the 2nd parameter on the 1st one are revealed for the Germa...
Fine-tuning large pre-trained models on downstream tasks has been adopted in a variety of domains recently. However, it is costly to update the entire parameter set of large pre-trained models. Although recently proposed parameter-efficient transfer...
We prove a new four parameter q-hypergeometric series identity from which the three parameter key identity for the Goellnitz theorem due to Alladi, Andrews, and Gordon, follows as a special case by setting one of the parameters equal to 0. The new...
We construct a two-parameter family of Feller diffusions on the set of open subsets of $(0,1)$ that arise as diffusive limits of two-parameter ordered Chinese Restaurant Process up-down chains. The diffusions we construct are natural ordered analogue...
Code for the paper "Bayesian Parameter Estimation of Jump-Langevin Systems for Trend Following in Finance" by James Murphy and Simon Godsill (⭐ 4 | Matlab)
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We consider the problem of finitely parameterized multi-armed bandits where the model of the underlying stochastic environment can be characterized based on a common unknown parameter. The true parameter is unknown to the learning agent. However, the...
In this note we show that if the Corona data depends continuously (smoothly) on a parameter, the solutions of the corresponding Bezout equations can be chosen to have the same smoothness in the parameter....
Photoionization fronts play a dominant role in many astrophysical situations, but remain difficult to achieve in a laboratory experiment. We present the results from a computational parameter study evaluating the feasibility of the photoionization ex...
I got parameter and argument kind of mixed up and did not really pay attention to when to use one and when to use the other. Can you please tell me?
Jun 19, 2018 · 11 torch.nn.Parameter is used to explicitly specify which tensors should be treated as the model's learnable parameters. So that those tensors are learned (updated) during the training …
Mixture models are widely used to fit complex and multimodal datasets. In this paper we study mixtures with high dimensional sparse latent parameter vectors and consider the problem of support recovery of those vectors. While parameter learning in mi...
to as Lamé's first parameter and Lamé's second parameter, respectively. Other names are sometimes employed for one or both parameters, depending on context
I got parameter and argument kind of mixed up and did not really pay attention to when to use one and when to use the other. Can you please tell me?
Jun 19, 2018 · 11 torch.nn.Parameter is used to explicitly specify which tensors should be treated as the model's learnable parameters. So that those tensors are learned (updated) during the training …