log

日记

重要markdown

assets

第二节讲义_1682136737988_0

1_64435ecd-c845-457f-afbd-60e81e3cbffa_1682136780619

1_6443640b-d02e-4b7b-833b-d49362a7bfc0_1682138122618

2-1-1.png(578×218)-_image_1705670873910_0

2-1-1.png(578×218)-_image_1705670919100_0

32、统计学习方法李航(非扫描版)_1687258339492_0

32、统计学习方法李航(非扫描版)_1687258339492_0

32、统计学习方法李航(非扫描版)_1695796968944_0

32、统计学习方法李航(非扫描版)_1695796968944_0

0230BF93_1684673835549_0

1388929B_1685874262815_0

超图学习综述算法分类与应用分析

第二节讲义_1682136737988_0

第二节讲义_1682136737988_0

对比实验运行

image_1684574457896_0

image_1684575545217_0

image_1684575767441_0

image_1699876183501_0

image_1699876572221_0

image_1699883985309_0

image_1699945101548_0

image_1699945313972_0

image_1699945440911_0

image_1699945485766_0

image_1699946225590_0

image_1699946458029_0

image_1699946606741_0

image_1699946861337_0

image_1699949728395_0

image_1699949793046_0

image_1702623691716_0

image_1702624195386_0

image_1704871702621_0

image_1704872057321_0

image_1705324163875_0

image_1705324179915_0

image_1705733465617_0

image_1709094685699_0

image_1709094739214_0

image_1709128836201_0

image_1709130207488_0

image_1709130266985_0

image_1709170234870_0

Pasted image 20240311154806

Pasted image 20240313090730

Pasted image 20240313090801

Pasted image 20240313090801 1

Pasted image 20240314154133

Pasted image 20240316210851

Pasted image 20240316210903

Pasted image 20240316211528

Pasted image 20240322164014

Pasted image 20240322164254

Pasted image 20240322164455

Pasted image 20240322164630

Pasted image 20240324153509

Pasted image 20240327160933

Pasted image 20240328143100

Pasted image 20240328145841

Pasted image 20240329091042

Pasted image 20240329093220

Pasted image 20240329094346

Pasted image 20240330103028

Pasted image 20240401152936

Pasted image 20240401153013

Pasted image 20240401211801

Pasted image 20240401211905

Pasted image 20240401213842

Pasted image 20240401213857

Pasted image 20240417161633

Pasted image 20240417190325

Pasted image 20240418104541

Pasted image 20240419153312

Pasted image 20240420163139

Pasted image 20240420164413

Pasted image 20240420164439

Pasted image 20240422091645

Pasted image 20240422175111

Pasted image 20240422180502

Pasted image 20240422195946

Pasted image 20240422195958

Pasted image 20240422200040

RLmtd1_1705324331849_0

Sarsa算法更新莫烦Python_-_3-1-1_1705753738596_0

W&B Chart 2024_4_17 10_28_47

W&B Chart 2024_4_17 10_29_51

W&B Chart 2024_4_17 10_34_02

W&B Chart 2024_4_17 10_41_22

W&B Chart 2024_4_17 10_56_42

W&B Chart 2024_4_19 21_09_39

W&B Chart 2024_4_19 21_10_41

W&B Chart 2024_4_19 21_11_22

W&B Chart 2024_4_19 21_12_47

journals

loom

contrastive

clustering ensemble

contrastive cluster

contrastive clustering

contrastive image cluster

深度图像聚类

loom-contrastive-contrastive_cluster

pages

static

css

fonts

codemirror.solarized

reveal_black.min

tabler-extension

tabler-icons.min

fonts

inter

Inter-BlackItalic

Inter-BlackItalic

Inter-BoldItalic

Inter-BoldItalic

Inter-ExtraBold

Inter-ExtraBold

Inter-ExtraBoldItalic

Inter-ExtraBoldItalic

Inter-ExtraLight

Inter-ExtraLight

Inter-ExtraLightItalic

Inter-ExtraLightItalic

Inter-italic.var

Inter-LightItalic

Inter-LightItalic

Inter-MediumItalic

Inter-MediumItalic

Inter-roman.var

Inter-SemiBoldItalic

Inter-SemiBoldItalic

Inter-ThinItalic

Inter-ThinItalic

IBMPlexMono-Text-Latin1

IBMPlexSans-Bold

IBMPlexSans-Text

IBMPlexSans-TextItalic

tabler-icons-extension

icons

canary

img

file-sync-unavailale-nonbacker-dark

file-sync-unavailale-nonbacker-light

file-sync-welcome-backer-dark

file-sync-welcome-backer-light

whiteboard-welcome-dark

whiteboard-welcome-light

js

excalidraw-assets

locales

ar-SA-json-c45aab1368e1467c61fc

bg-BG-json-c0c83d33de789fc3ecc3

bn-BD-json-8522a1ce4e8fbd149dd3

ca-ES-json-a414efadae57479408aa

cs-CZ-json-a898ae3675b2d66f2491

da-DK-json-3f6008b3d7f477f7c6b4

de-DE-json-e7215ff06fe5513fd875

el-GR-json-648c4e8a33d49e3c8d60

es-ES-json-d4c3bba2e07c62d27ff7

eu-ES-json-5570769d29eb3be6fea1

fa-IR-json-5f34cbf7e5dc2a5b6694

fi-FI-json-a58f3fd51d0149157782

fr-FR-json-2649082b2724353b1b7c

he-IL-json-cf135bd5c36e9008cf4c

hi-IN-json-e3c279159830df6b85a7

hu-HU-json-5f4e84e297b66cee16a9

id-ID-json-8e2480705d678b85e0d8

it-IT-json-97f53316658e3c6e3cc2

ja-JP-json-6ca4d0a0a0da6439e399

kab-KAB-json-ca6c8cc0a4c6ce0394e8

kk-KZ-json-256f55e01b7d14c51a85

ko-KR-json-1c5c18219823218aec95

lt-LT-json-d6dce1ea118b023d9b66

lv-LV-json-8cde5d34d4617c13212c

mr-IN-json-f2dbf75cf336121866d9

my-MM-json-f8ea0cde2df903706156

nb-NO-json-a061d909ce3f9c28e569

nl-NL-json-9e2654c18661c817cad2

nn-NO-json-34324eb373b2c86232e9

oc-FR-json-36b68175896ab5fd8838

pa-IN-json-fff5fde7b22725f4892b

pl-PL-json-556a5502303d62e61fc5

pt-BR-json-8e000700411ca90b0a50

pt-PT-json-a5412c6c70653dd832bc

ro-RO-json-314bb21d9405881aea46

ru-RU-json-7afc1507267127a4039e

si-LK-json-09768735f21a6d7fe6c0

sk-SK-json-93cdc341372014e6d68e

sl-SI-json-053f1aa5c78d021e73e0

sv-SE-json-daf16f824ce6bf253b94

ta-IN-json-8227d446fbfcd3f8c7be

tr-TR-json-0a8595289a6099a03252

uk-UA-json-1b9f0b315899af8a00fd

zh-CN-json-a965551d944124b24b25

zh-HK-json-76ff37dfc9fb93291975

zh-TW-json-529b943391afcfd5369d

vendor-52b1f3361986b6c6a4fe

vendor-52b1f3361986b6c6a4fe.js.LICENSE

pdfjs

cmaps

Adobe-CNS1-UCS2

Adobe-Japan1-UCS2

Adobe-Korea1-UCS2

UniJIS-UCS2-HW-H

UniJIS-UCS2-HW-V

UniJIS2004-UTF8-H

UniJIS2004-UTF8-V

UniJIS2004-UTF16-H

UniJIS2004-UTF16-V

UniJIS2004-UTF32-H

UniJIS2004-UTF32-V

UniJISPro-UCS2-HW-V

UniJISPro-UCS2-V

UniJISPro-UTF8-V

UniJISX0213-UTF32-H

UniJISX0213-UTF32-V

UniJISX02132004-UTF32-H

UniJISX02132004-UTF32-V

html2canvas.min

lightning-fs.min

lsplugin.core.js.LICENSE

swiped-events.min

@Clustering ensemble via structured hypergraph learning

✅今天做了啥

📖读书笔记

😝一生准则

1.2统计学习的分类

1.3统计学习方法三要素

3月实验进展

第三大的数

第一篇论文

第一篇论文实现细节

第一篇论文实验

第一篇论文思路

第一篇期间的疑问

读代码准则

读论文现行最终版

读论文准则

对比学习篇

多元线性回归

二进制求和

监督学习和非监督学习

六级冲冲冲

论文代码工具

模仿别人论文的写作风格

钱伟长谈学习方法

强化学习dbscan

如何读论文

如何读论文（初期

深度学习部分

深度学习算法课

数据的定义

统计学习方法

统计学习及监督学习概论

未命名思维导图

学术英语写作

研一论文准备工作

一路上遇到的问题

用mobilenet做人脸识别大作业

周报与月报

注意力机制

组会实验进展

最短无序连续子数组

A Survey of Deep Graph Clustering%3A Taxonomy, Challenge, Application, and Open Resource

Adaptive Graph Encoder for Attributed Graph Embedding

Attributed Graph Clustering with Dual Redundancy Reduction

Cluster-guided Contrastive Graph Clustering Network

contrastive cluster

Contrastive Hierarchical Clustering

CONVERT-Contrastive Graph Clustering with Reliable augement

Deep Multiview Clustering by Contrasting Cluster Assignments

Detecting review spammer groups based on generative adversarial networks

gcn cluster dict

heterogeneous information

hls__32、统计学习方法李航(非扫描版)_1687258339492_0

hls__32、统计学习方法李航(非扫描版)_1695796968944_0

hls__第二节讲义_1682136737988_0

laplacian graph

MIM高频与对比学习

Multi-level Graph Contrastive Prototypical Clustering

Neural Network Diffusion

numpy pandas conclusion

pycharm常用快捷键

q-learning and sarsa

Self-Contrastive Graph Diffusion Network

Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning

SPICE-Semantic Pseudo-Labeling for Image Clustering

torch常用操作总结

Twin Contrastive Learning for Online Clustering

vscode代码标签准则

zotero读论文准则

tags

check-new-release

1.3统计学习方法三要素

方法=模型+策略+算法
模型
- 假设空间包含所有肯呢个的条件概率分布或决策函数
- 决策函数
  - 若定义为决策函数的集合：F由一个参数向量决定的函数族构成：参数空间：
  - 例：线性回归
  - 实例：决策函数：
  - 向量形式：f(x)= w·x+b，其中，
  - 那么,参数空间是w,b组成的空间
- 条件概率分布
  - 若定义为条件概率的集合：F由一个参数向量决定的条件概率分布族构成:
  - 例： Logistic回归
  - $实例\colon x=\bigl(x^{(1)},x^{(2)},\cdots,x^{(n)}\bigr)^{T} $$  条件概率分布：$
策略
- 损失函数
  - 0-1
    - 分类问题
  - 平均损失函数
    - 回归
  - 绝对损失函数
    - 回归
  - 对数损失函数
    - 处理概率模型
- 风险函数,期望损失函数
  - 理想情况下的损失函数
- 经验损失函数
  - 在给定数据集上的损失函数
  - 改进
  - 结构风险最小化(structural risk minimization)
    - 加入了罚项(penalty term)
    - 为模型的复杂度,f越简单,就越小
    - 是系数,用以权衡经典风险和模型复杂度
    - 结构风险需要经验风险和模型复杂度同时小
  - 这就就引入了最优化策略(加了一个min)
算法
- 基于训练集,用什么样的方法求最优模型

Table Of Contents

1.3统计学习方法三要素