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集成学习 Ensemble Learning

別名:多分类器系统 Multi-classifier System 基于委员会的学习 Committee-based Learning

模型融合的優勢

  • 過擬合
  • 精度低
  • 數據集過大或過小

模型融合的對象

  • 不同的數據集
  • 不同的模型結構
  • 不同的超參數

經典的模型融合框架

基礎的模型融合方法

  • 投票法 voting
  • 平均發 averanging
  • 排序法 sorfting

Stacking \ Blending

隨機森林 \adaboost 算法

參考文檔 KAGGLE ENSEMBLING GUIDE

dongfangsheng's Projects

agentgpt icon agentgpt

🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.

auto-gpt icon auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

chatgpt-on-wechat icon chatgpt-on-wechat

Wechat robot based on ChatGPT, which using OpenAI api and itchat library. 使用ChatGPT搭建微信聊天机器人,基于GPT3.5/4.0 API实现,支持个人微信、公众号、企业微信部署,能处理文本、语音和图片,访问操作系统和互联网。

comfyui icon comfyui

The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.

jarvis icon jarvis

JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf

shap-e icon shap-e

Generate 3D objects conditioned on text or images

voyager icon voyager

An Open-Ended Embodied Agent with Large Language Models

whisper icon whisper

Robust Speech Recognition via Large-Scale Weak Supervision

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