Reliable Reasoning 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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Gilbert Harman 作者

The MIT Press

译者

2007-3-30 出版日期

118 页数

USD 32.00 价格

Hardcover

The Jean Nicod Lectures 丛书系列

9780262083607 图书编码

Reliable Reasoning 在线电子书图书标签: 分析哲学逻辑学统计学统计哲学科普数据处理归纳逻辑学习理论

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发表于2024-11-05

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Reliable Reasoning 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Reliable Reasoning 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

Reliable Reasoning 在线电子书用户评价

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O..K.. explores interesting connections but way too telegraphic

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看得半懂不懂。需要对statistical learning和某些分析哲学的问题，例如古德曼的归纳难题有一定了解后再看，才能收获较大。总体上来说感觉太过简略了，不是入门读物。

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Harman算是指引我接触归纳推理的入门者但他的基本观点：induction和deduction同为reasoning是一种范畴错误我从来都不认同

评分☆☆☆☆☆

Harman算是指引我接触归纳推理的入门者但他的基本观点：induction和deduction同为reasoning是一种范畴错误我从来都不认同

评分☆☆☆☆☆

Reliable Reasoning 在线电子书著者简介

Reliable Reasoning 在线电子书图书目录

Reliable Reasoning 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Reliable Reasoning 在线电子书图书描述

In Reliable Reasoning, Gilbert Harman and Sanjeev Kulkarni--a philosopher and an engineer--argue that philosophy and cognitive science can benefit from statistical learning theory (SLT), the theory that lies behind recent advances in machine learning. The philosophical problem of induction, for example, is in part about the reliability of inductive reasoning, where the reliability of a method is measured by its statistically expected percentage of errors--a central topic in SLT. After discussing philosophical attempts to evade the problem of induction, Harman and Kulkarni provide an admirably clear account of the basic framework of SLT and its implications for inductive reasoning. They explain the Vapnik-Chervonenkis (VC) dimension of a set of hypotheses and distinguish two kinds of inductive reasoning. The authors discuss various topics in machine learning, including nearest-neighbor methods, neural networks, and support vector machines. Finally, they describe transductive reasoning and suggest possible new models of human reasoning suggested by developments in SLT.

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