# Questions tagged [objective-function]

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### Image reconstruction using low-light components

Let's say we have a regular photo and three low-light photos illuminated in different colors. Each pixel is a three-component vector $q=(R,G,B)$. Then $q_k^{A}$ is the $k$-th pixel of the regular ...
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### Scores of the objective function are very close to zero

For my model, I am using a square loss for the objective function. When I get the result of the prediction, the score given for each instance is very close to zero ($1*e^{-10}$). Does this mean that ...
16 views

### The principle and understanding of adversarial training

In the paper《ADVERSARIAL TRAINING METHODS FOR SEMI-SUPERVISED TEXT CLASSIFICATION》and its related papers. The researcher apply the adversarial perturbation to word embeddings. Why do this methods ...
28 views

### Deeplearning without an objective function?

In this article, the author talks about how deeplearning models no longer are trained for an objective function that humans specify, but find their own objective function. Specifically, he is talking ...
86 views

### Non-linear Regression

For example suppose I've data set which looks like: [[x,y,z], [1,2,5], [2,3,8], [4,5,14]] It's easy to find the theta parameters from those tiny data set. ...
34 views

### How to determine the function is linear in linear regression problem?

I know that the first degree of the polynomial equation is considered as a linear function. But, I found some things confusing in linear regression. ...
29 views

### Linear regression space transformation

Can someone help me how space transformation works on linear regression problems because I have been confused. When we perform space transformation with a function e.g. $\varphi (x)$ we perform the ...
49 views

### Newbie: Objective Function

I am reading the book "Data Science for Business" by Foster Provost & Tom Fawcett. Only a fourth of the way through. I am unclear about the concept of Objective Function. I will nevertheless take ...
51 views

### can machine learning/Deep learning used to minimize an objective function?

I have data of construction site and am wondering if i can use machine learning to reduce the cost it takes to build a building. But, as far as i know, Machine learning can only does function ...
I would like to approximate a function $f(\cdot)$ by means of a neural network given a finite set of observations $f(x_i)$ where $x_i\in\mathbb{R}^n$ and $i=1\dots,N$. However, I have some prior ...