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inference    音标拼音: ['ɪnfɚəns]
n. 推理,推论,推断,推测

推理,推论,推断,推测

inference
推理

inference
n 1: the reasoning involved in drawing a conclusion or making a
logical judgment on the basis of circumstantial evidence
and prior conclusions rather than on the basis of direct
observation [synonym: {inference}, {illation}]

Inference \In"fer*ence\, n. [From {Infer}.]
[1913 Webster]
1. The act or process of inferring by deduction or induction.
[1913 Webster]

Though it may chance to be right in the conclusions,
it is yet unjust and mistaken in the method of
inference. --Glanvill.
[1913 Webster]

2. That which inferred; a truth or proposition drawn from
another which is admitted or supposed to be true; a
conclusion; a deduction. --Milton.
[1913 Webster]

These inferences, or conclusions, are the effects of
reasoning, and the three propositions, taken all
together, are called syllogism, or argument. --I.
Watts.

Syn: Conclusion; deduction; consequence.

Usage: {Inference}, {Conclusion}. An inference is literally
that which is brought in; and hence, a deduction or
induction from premises, -- something which follows as
certainly or probably true. A conclusion is stronger
than an inference; it shuts us up to the result, and
terminates inquiry. We infer what is particular or
probable; we conclude what is certain. In a chain of
reasoning we have many inferences, which lead to the
ultimate conclusion. "An inference is a proposition
which is perceived to be true, because of its
connection with some known fact." "When something is
simply affirmed to be true, it is called a
proposition; after it has been found to be true by
several reasons or arguments, it is called a
conclusion." --I. Taylor.
[1913 Webster]

76 Moby Thesaurus words for "inference":
Baconian method, a fortiori reasoning, a posteriori reasoning,
a priori reasoning, allegory, allusion, analysis, arcane meaning,
assumption, axiom, coloration, conclusion, conjecture, connotation,
consequence, consequent, corollary, deduction, deductive reasoning,
derivation, epagoge, generalization, guess, guessing, guesswork,
hint, hypothesis, hypothesis and verification, illation,
implication, implied meaning, import, induction,
inductive reasoning, innuendo, intimation, ironic suggestion,
judgment, meaning, metaphorical sense, nuance, occult meaning,
overtone, particularization, philosophical induction, postulate,
postulation, postulatum, premise, presumption, presupposal,
presupposition, proposition, ratiocination, reckoning, sequitur,
set of postulates, subsense, subsidiary sense, suggestion,
supposal, supposing, supposition, surmise, syllogism,
syllogistic reasoning, symbolism, synthesis, thesis, tinge, touch,
undercurrent, undermeaning, understanding, undertone,
working hypothesis

The logical process by which new facts are derived
from known facts by the application of {inference rules}.

See also {symbolic inference}, {type inference}.

(1995-03-20)


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  • 机器学习中Inference 和predict的区别是什么? - 知乎
    Inference: You want to understand how ozone levels are influenced by temperature, solar radiation, and wind Since you assume that the residuals are normally distributed, you use a linear regression model
  • 请解释下variational inference？ - 知乎
    进一步地，operator variational inference (OPVI) [19] 则重新审视了这个优化目标的设计问题，提出了一个更加general的框架，把KL纳入其中。 总的来说，相比前两类问题，这个问题的工作较少，毕竟我们总可以设计“更好”的优化算法来弥补优化目标的“缺陷”。
  • 如何简单易懂地理解变分推断 (variational inference)？ - 知乎
    How can we perform efficient inference and learning in directed probabilistic models, in the presence of continuous latent variables with intractable posterior distributions, and large datasets? 其中有几个关键词：inference and learning, intractable posterior distributions, large datasets 我们要明确 inference 的是什么？
  • 神经网络中训练和推理有什么区别？ - 知乎
    推断（Inference）可以使用低精度的技术，训练的时候因为要保证前后向传播，每次梯度的更新是很微小的，这个时候需要相对较高的精度，一般来说需要float型，如FP32，32位的浮点型来处理数据，但是在推断（Inference）的时候，对精度的要求没有那么高，很多
  • 因果推断会是下一个AI热潮吗？ - 知乎
    The Causal-Neural Connection: Expressiveness, Learnability, and Inference Kevin M Xia (Columbia University) · Kai-Zhan Lee (Columbia University) · Yoshua Bengio (University of Montreal) · Elias Bareinboim (Columbia University) 7 因果对抗学习 机器学习的对抗场景无处不在，因果推断场景也不例外。
  • 有没有模型推理服务化框架Triton保姆级教程？ - 知乎
    这里triton指的是triton inference server而不是OpenAI的triton，注意区分 本篇也算是triton系列第二篇，接下里会借着triton这个库，一起讨论下什么是推理、什么是推理引擎、推理框架、服务框架等等一些概念，以及平常做部署，实际中到底会做些什么。
  • 如何学习大模型的推理加速，学习路线是什么，在进行大模型的端侧推理或者微调时，单机多卡可以吗？ - 知乎
    High-throughput Generative Inference of Large Language Models with a Single GPU, ICML 23, Stanford University 利用多级存储在单卡上推理大模型，将模型参数、activation和KV cache卸载到CPU或disk，每次只推理一小块mini-batch和一小块模型。 设计优化问题决定batch size、卸载比例等参数。
  • 如何看待 OpenAI 的 o3 模型？有多强大？ - 知乎
    尤其是ARC AGI作为普遍认为人工智能极难解决的一类问题，得到了如此巨大的突破，这意味着什么？ 根据O…
  • 请问因果推断领域有什么比较推荐的公开课吗？ - 知乎
    Yoshua Bengio 的高徒 Brady Neal 在网上开放了个公开课Introduction to Causal Inference，所有的资源都是开放的，以及小哥自己准备的资料。本课程难度不大，只要有概率论的相关基础都是可以的。 课程的教材是作者自己写的，主要是从机器学习学习的角度来看待因果推理：Introduction to Causal Inference：from a Machine
  • 推断和推理有什么区别？ - 知乎
    推断和推理有什么区别？ 这两个中文意思以及相应英文（比如说inference和reasoning？ ），都有什么区别？ 特别是在一些专业词汇，比如机器学习里的training和… 显示全部 关注者 10 被浏览





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