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ferociously    音标拼音: [fɚ'oʃɪsli]
ad. 凶恶地;残忍地

凶恶地;残忍地

ferociously
adv 1: in a physically fierce manner; "silence broken by dogs
barking ferociously"; "they fought fiercely" [synonym:
{ferociously}, {fiercely}]

Ferocious \Fe*ro"cious\, a. [L. ferox, -ocis, fierce: cf. F.
f['e]roce. See {Ferocity}.]
Fierce; savage; wild; indicating cruelty; ravenous;
rapacious; as, ferocious look or features; a ferocious lion.
[1913 Webster]

The humbled power of a ferocious enemy. --Lowth.

Syn: {Ferocious}, {Fierce}, {Savage}, {Barbarous}.

Usage: When these words are applied to human feelings or
conduct, ferocious describes the disposition; fierce,
the haste and violence of an act; barbarous, the
coarseness and brutality by which it was marked;
savage, the cruel and unfeeling spirit which it
showed. A man is ferocious in his temper, fierce in
his actions, barbarous in the manner of carrying out
his purposes, savage in the spirit and feelings
expressed in his words or deeds. -- {Fe*ro"cious*ly},
adv. -- {Fe*ro"cious*ness}, n.
[1913 Webster]

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  • Getting Started • hBayesDM - GitHub Pages
    We introduce a free R package hBayesDM, which offers HBA of various computational models on an array of decision-making tasks (see below for a list of tasks and models currently available)
  • GitHub - CCS-Lab hBayesDM: Hierarchical Bayesian modeling of RLDM tasks . . .
    hBayesDM (hierarchical Bayesian modeling of Decision-Making tasks) is a user-friendly package that offers hierarchical Bayesian analysis of various computational models on an array of decision-making tasks hBayesDM uses Stan (via CmdStan) for Bayesian inference
  • Hierarchical Bayesian Modeling of Decision-Making Tasks
    hBayesDM (hierarchical Bayesian modeling of Decision-Making tasks) is a user-friendly package that offers hierarchical Bayesian analysis of various computational models on an array of decision-making tasks hBayesDM uses Stan for Bayesian inference
  • CRAN: Package hBayesDM
    Package ‘hBayesDM’ was removed from the CRAN repository Formerly available versions can be obtained from the archive Archived on 2026-01-04 as issues were not addressed in time A summary of the most recent check results can be obtained from the check results archive
  • hBayesDM：决策制定任务的高级贝叶斯分析工具-CSDN博客
    hBayesDM作为一个功能强大的开源工具，不仅为研究人员提供了一个强大的分析平台，而且推动了决策制定行为的研究进展。 通过hBayesDM，研究人员可以更好地理解和预测个体在复杂环境中的决策行为，这对于推动相关学科的发展具有重要意义。
  • CRAN: Package hBayesDM
    hBayesDM: Hierarchical Bayesian Modeling of Decision-Making Tasks Fit an array of decision-making tasks with computational models in a hierarchical Bayesian framework
  • hBayesDM - 分层贝叶斯决策建模工具支持R和Python - 懂AI
    hBayesDM是一个为决策任务提供分层贝叶斯分析的开源软件包。 它基于Stan进行贝叶斯推断，支持R和Python语言。 该工具能分析强化学习和决策制定的神经计算机制，为心理学、神经科学和行为经济学等领域的研究者提供强大的分析支持。
  • hBayesDM：面向强化学习与决策建模的R Python跨平台 . . .
    hBayesDM（Hierarchical Bayesian Modeling of Reinforcement Learning and Decision-Making Tasks）是一个面向认知神经科学、计算精神病学、行为经济学与决策神经科学等交叉领域的开源计算建模工具包，其核心目标是为研究者提供一套标准化、可复现、高鲁棒性的分层贝叶斯
  • R: Hierarchical Bayesian Modeling of Decision-Making Tasks
    Fit an array of decision-making tasks with computational models in a hierarchical Bayesian framework Can perform hierarchical Bayesian analysis of various computational models with a single line of coding Bolded tasks, followed by their respective models, are itemized below Woo-Young Ahn wahn55@snu ac kr Nathaniel Haines haines 175@osu edu





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