{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# 4.5 课后习题" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "1、定性的分析为什么当样本取自截然不同的两类(即没有特征点同时归为这两类)时,一定存在一个到更高维的非线性映射使得样本线性可分。\n", "\n", "2、在应用于两类问题的标准boosting法中,我们必须产生一个对于当前的分类器含有“最富信息”的数据集,为什么这意味着只有一半模式能够被正确地分类,而不是任何一个模式都不能被正确分类?对于c类问题,“最富信息”集中的哪部分模式必定被错误地分类?\n" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.5" }, "toc": { "base_numbering": 1, "nav_menu": {}, "number_sections": true, "sideBar": true, "skip_h1_title": false, "title_cell": "Table of Contents", "title_sidebar": "Contents", "toc_cell": false, "toc_position": {}, "toc_section_display": true, "toc_window_display": false } }, "nbformat": 4, "nbformat_minor": 2 }