What are definitions of Model, Inference and Algorithm and its associations ?
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【1】拿初中的二元一次方程来说明:
- 1.1)说model就好比一元二次方程,它是个方程模型;
- 1.2)再说inference是求解该方程的某种方法——加减消元法(重在推理);
- 1.3)最后说algorithm是我们具体的求解步骤。
【2】一篇完整的学术论文阐述内容顺序为:
- 2.1)模型Model(你建立的,the most important and difficult)
- 2.2)推理Inference (推理步骤,建立在该模型之上的解决某问题的思路)
- 2.3)算法Algorithm(基于上述推理内容,写出具体的实现代码)
Attention)
- A1)一个推理可以由多种不同的算法实现;一个模型可以有多种不同的推理方法;
用er关系模型来描述就是 Model : Inference = 1 : N and Inference : Algorithm = 1 : M ; - A2)对于Model, Inference, Algorithm, 他们的创建难度是递减的,即Model的build 难度最高,Inference次之,Algorithm最低;貌似我们通常都是修改算法一样,呵呵了;
- A3)不要将Inference和Algorithm 这两个过程或术语搞混淆;
A4) initial ideas above are certainly from PhD Hongjun Wang on ML class in #9133.
[attributor] Rong Tang
- [timestamp] 1505112159
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