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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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    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
  • 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?
  • 机器学习中Inference 和predict的区别是什么? - 知乎
    机器学习中Inference 和predict的区别是什么? 为什么传统机器学习,都会用predict表示预测,而深度学习中往往用inference这个词,他们意义有什么不同吗 显示全部 关注者 61
  • LLM的pad策略,为啥训练时是right,预测是left? - 知乎
    上面这俩在训练时是等效的。 关键还是 padding 方向和 ignore_label 的设置方式要匹配。 position_ids 的影响也不大,目前像 Hugging Face 这种库可以自行处理。如下例中是 batch size 为 2 的一组输入,其中第二个输入有效长度为 4, 可以看到 left padding 后,其有效的第一个词元的 position_id 是正确的,即 0 。
  • 统计里面Post Selection主要是解决什么问题? - 知乎
    [2]的主要贡献在于解决了如何在LASSO selection之后进行valid inference的问题,通过LASSO解的KKT condition刻画了LASSO selection event的性质(这是一个比较复杂的model selection问题,可以证明LASSO selection is a subset of some polyhetral set, and we can construct valid test by conditioning on this
  • 模型测试时,也就是inference时,怎么用多卡? - 知乎
    模型测试时,也就是inference时,怎么用多卡? 本人有两张卡,但单卡测试时数据大时会爆显存,所以想用双卡。 大致代码思路如下: import os os environ ['CUDA_VISIBLE_D… 显示全部 关注者 3
  • 大模型推理加速——Fastest Speculative Decoding in vLLM with Arctic Inference and . . .
    Arctic Inference是一个开源库,集成了Snowflake AI Research开发的当前和未来的LLM推理优化。 它利用vLLM的自定义插件功能与vLLM v0 8 4集成,用户安装后,Arctic Inference会自动为vLLM添加本文所述的推测解码功能,用户可以继续使用熟悉的vLLM API和命令行界面。
  • 什么是「推理」 (Reasoning)? - 知乎
    在哲学逻辑学、心理学、认知科学、(通用)人工智能等领域,如何对推理进行定义?Reasoning和Inference有…
  • 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。
  • Causal Inference 和 LLM怎么结合? - 知乎
    Causal Inference 和 LLM 的结合是一个新兴的研究领域,具有广阔的应用前景。 随着研究的深入,Causal Inference 和 LLM 将会更加紧密地结合,并为我们带来更多新的应用和突破。





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