Questions tagged [features]
For questions related to features in the context of machine learning and, in general, AI.
68 questions
0 votes
0 answers
35 views
ML models that train on graphs but infer without any edges (edge prediction task)
I'm exploring a machine learning research direction and I'm looking for ideas or pointers to existing models/projects that fit the following setup: The model is trained on graphs with edge information ...
- 101
0 votes
0 answers
27 views
Quantify overlap of features
Is there a simple method to quantify the overlap of two sets of scatter points that people agree to in general? I have three different algorithms for classification, each of which gives me features ...
1 vote
1 answer
76 views
Can attention layer's weight be used as adjacency matrix?
Based on this feature dependencies problem. $G_{x,y,z}$ is rank-3 tensor where: $x$: Num of samples. $y$: Num of features. $z$: Num of embedding dimensions. If I train a simple attention layer ...
1 vote
1 answer
101 views
Regression model is doing exceptionally very well on time series
I have the following task to do: I have time series data. Training by the consecutive 3 days to predict the each 4th day. Each day data represents one CSV file which has dimension 24x25. Every ...
- 123
0 votes
2 answers
84 views
What the difference between influence and dependence?
I'll give an example on height and weight. Weight and height are correlated, but it's not necessarily the case that a tall person weighs more or that someone who weighs more is a tall person - and ...
- 33
2 votes
2 answers
94 views
What is the sensitivity of coefficients in multicollinearity?
I've heard that the coefficients in multicollinearity are very sensitive, and can change due to small changes in the data.... Isn't it a problem with the dataset itself that we have different data? ...
- 33
0 votes
1 answer
74 views
Is a linear regression model able to figure out the relation of division among two features?
I have a dataset that consists of data about students. The features are things such as passed credits, failed credits, ...
- 103
1 vote
0 answers
154 views
Compare two songs content using Audio Spectogram Transformer
I'm trying to establish a similarity metric between two songs. To do this I'm using the AST model on HuggingFace. This model basically works in a way very similar to a ViT but applied to spectograms ...
- 111
0 votes
1 answer
75 views
Machine Learning Algorithm for identifying the factors contributing to academic performance of students
I have a dataset with several qualitative and quantitative attributes, including age, location (longitude, latitude), city, parent occupation, family size, GPA etc. My task is to find the attributes/...
- 43
1 vote
0 answers
145 views
What is the best way to train a neural network with a variable number of inputs?
Suppose I have a neural network with 5 inputs: [A,B,C,D,E] There is only 1 output. The expected accuracy of the model should increase when all 5 inputs are ...
- 11
0 votes
2 answers
86 views
Non constant Feature Importance
I have a financial dataset which has 10 years worth of data. The aim is to build a regressor capable of predicting next year sales. So, if I want to predict sales for 2024, I could use data from 2023, ...
- 1
2 votes
1 answer
238 views
Is there any advantage to providing multi-dimensional input to torch modules?
Most layer types in torch.nn such as torch.nn.Linear accept input with more than one dimension. Is there any advantage in doing so if you can shape your data to represent a certain arrangement in ...
- 23
1 vote
1 answer
189 views
Feature vector representation of probability distribution
I have a series of multiple probability distribution like this: [ [0.2, 0.3, 0.5], [0.1, 0.2, 0.7], ... ] Do you have any suggestions how I can represent this ...
- 53
1 vote
2 answers
151 views
Transfer Learning for Solar Energy Production Forecasting with LSTM: Generalized vs. Specialized Models
I am working on a solar energy production forecasting problem using LSTM multi-step models to predict 1/4/8h ahead of solar energy production for different solar installations. Our goal is to help ...
1 vote
1 answer
138 views
What features for a content-based recommendation system might give the best results?
I'm working on a hybrid recommendation system (collaborative and content-based) for an online ordering/shopping app. So far I've managed to identify a data-source for the collaborative model (likely ...
- 11