Questions tagged [prediction]
For questions about prediction of a certain quantitative or a qualitative value by an algorithm
61
questions
2
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0answers
23 views
Choosing neural network output for prediction (regression) of a dynamical system
I’m trying to train a neural network to approximate the output of a dynamical system $dy/dt=f\left(y(t), u(t) \right)$, namely, given $y(0)$ and $u(t_i), i=1,2...N$ I want the network to predict $y(...
1
vote
1answer
42 views
How can I test my trained network on the next unavailable hour?
I have data of 695 hours. I use the first 694 hours to train the network and I use 695th hour to validate it. Now my goal is to predict the next hour.
How I can use my trained network to predict the ...
1
vote
0answers
14 views
CNN multi output scores and evaluation
I am building a CNN with two outputs. I still have to put time in the network itself, but I was trying to get a good evaluation/classification report of the results. My code is the following:
...
3
votes
2answers
86 views
How do I predict the occurrence of rare events?
I am trying to predict crime. I have data with factors: location, keyword description of the crime, time crime occurred and so on. This is for crimes that occurred in the past.
I would like to treat ...
1
vote
1answer
64 views
Which model can I use for this problem with multiple inputs and outputs?
Which model is the most appropriate for this problem with multiple inputs and outputs?
The data set is
A1, A2, A3, A4, A5, A6, B1, B2, B3, B4
where ...
2
votes
0answers
54 views
Why is the transformer for time series forecasting faster than RNN?
I've been reading different papers which implements the Transformer for time series forecasting. Most of the them are claiming that the training time is significantly faster then using a normal RNN. ...
1
vote
1answer
46 views
Is it possible to use the GPT-2 model for time-series data prediction?
Is it possible and how trivial (or not) might it be (if possible) to retrain GPT-2 on time-series data instead of text?
2
votes
0answers
17 views
How to choose the suitable Neural Network Architecture for Regression Tasks
so I'm working on a Project where I want to predict the Vehicle Position from the Vehicle Data like speed, acceleration etc.. now the data that I have comes also with a timestamp for each sample ( I ...
3
votes
2answers
132 views
What kind of neural network architecture is suitable for variable length block-like time series data?
I'm not sure what this type of data is called, so I will give an example of the type of data I am working with:
A city records its inflow and outflow of different types of vehicles every hour. More ...
0
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0answers
15 views
Predict the next best action based on previous lists of actions
I have the following problem. There is a software that I've written some time ago. Users enter customer's data in the system and there is a limited number of things (actions) that they can do/add - ...
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0answers
37 views
Is there a GAN that can be used for sequence prediction?
I want to use a GAN for sequence prediction, in a similar way that we use RNNs for sequence prediction. I want to test its performance in comparison with RNNs. Is there a GAN that can be used for ...
0
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0answers
18 views
Improving Recall of a Certain Class
Let's say that we have a test data set with $20,000$ observations for which we want to make a binary prediction for. When we apply our best trained model to this data set (e.g. logistic regression ...
1
vote
1answer
42 views
Which predictive algorithm is most appropriate for a proceeding situation?
I'm new to artificial intelligence. I am looking for the most appropriate AI solution for my application, which is developing an algorithm to predict a proceeding situation (edited: I want my ...
2
votes
0answers
42 views
Spike detection in time series using Artificial Neural Networks
I'm quite new in ANNs. I intend to use ANNs for predicting spike points in time series right before they happen. I've already used LSTM for another scenario, and I know that they can be used in ...
2
votes
1answer
24 views
Change a data compression function into prediction
I've heard prediction is equivalent to data compression.
prediction (essentially equivalent to data compression)
Is there a way to take a compression function and use it to create an AI that ...
6
votes
1answer
81 views
Suicide Predictor and Locator
Suicide is on the increase in my country and most victims tend to leave early traces from text messages, social media accounts, search engine queries. So I came up with the idea to develop an AI ...
1
vote
1answer
35 views
How should we understand the evaluation metric, AUC, in link prediction problems?
In link prediction problems, there are only known edges and nodes.
If there is a known edge in the node pair, the node pair is regarded as a positive sample. Except for those node pairs whose edges ...
1
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0answers
13 views
Predicting Hot Categories In a Reference Manager
Reference managers like Zotero or Mendeley allow researchers to categorize papers into hierarchical categories called collections. The User navigates through a listing of these collections when filing ...
0
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0answers
28 views
Is predicting day of week straight forward?
I am using python and Xgboost. I have features: activity and location and time stamps of when the activity occurred.
I want to predict day of week. Is this straight forward, ie y=day of week, X={...
1
vote
1answer
66 views
How can I stabilise a recurrent neural network used for binary classification?
I’m looking for some help with my neural network. I’m working on a binary classification on a recurrent neural network that predicts stock movements (up and down) Let’s say I’m studying Eur/Usd, I’m ...
2
votes
1answer
41 views
What is the prediction accuracy?
In simple words, what is the prediction accuracy? What is it based on? How does it help? When is it used?
2
votes
3answers
71 views
Predict best price using neural network?
Our customer runs a tour agency. He has an excel spreadsheet containing the following information for people that have contacted them:
Customer name, country, tour duration (requested by customer), ...
1
vote
3answers
154 views
How can I develop a prediction algorithm for a game of chance?
How can I develop a prediction algorithm in the case of games of chance? Suppose there is a 50:50 chance of winning. Is there way of creating a prediction algorithm?
2
votes
2answers
83 views
Why is it harder to achieve good results using neural network based algorithms for multi step time series forecasting?
There are different kinds of machine learning algorithms, both univariate and multivariate, that are used for time series forecasting: for example ARIMA, VAR or AR.
Why is it harder (compared to ...
1
vote
1answer
50 views
How to predict human future location?
I have billions of anonymized location coordinates of people movement collected from app. I want to improve user experience by using location data.
For example identify if user is at home or at ...
0
votes
1answer
19 views
The proper AI method for modeling to predict road crashes and safety surrogate measures
I intend to use an AI method for modeling to predict road crashes and safety sorrogate measures. The dependent variables are crash frequency and other measures that are nonnegative integers. The ...
6
votes
1answer
125 views
How do I predict if it is rainy or not?
I'm building a weather station, where I'm sensing temperature, humidity, air pressure, brightness, $CO_2$, but I don't have a raindrop sensor.
Is it possible to create an AI which can say if it's ...
1
vote
1answer
62 views
predict waste generation
I am starting a project to predict the generation of urban waste.
I have found very little information on this topic on the internet.
I would be very useful advice on how to approach this topic, and ...
2
votes
1answer
164 views
How to implement an artificial network that outputs an integer within a range?
The goal is to implement an artificial network that, based on training samples labelled with positive integers, outputs a positive integer.
Perhaps I am not searching for the correct thing but all ...
5
votes
2answers
210 views
Can one use an Artificial Neural Network to determine the size of an object in a photograph?
My question relates to but doesn't duplicate a question that has been asked here.
I've Googled a lot for an answer to the question: Can you find the dimensions of an object in a photo if you don't ...
5
votes
3answers
613 views
Is the singularity concept mathematically flawed? [closed]
In Comes IQ
When the concept of Intelligence Quotient arose it was based on this approximation.
Each human being has a number that quantifies their intelligence relative to a fixed norm, and, ...
3
votes
1answer
145 views
Are any organisations using AI to predict weather?
This seems like a natural fit, though I've not heard of any, yet.
I would love to know if any MET office, government, military or academic institution has taken all (or sizeable portion of) recorded ...
1
vote
0answers
71 views
Using CNN LSTMs for prediction of images from image series
I have the following setup for a prediction task: I want to predict entire pictures from previously given pictures. In my case, only 2 pixels in every frame are neither black nor white, they are some ...
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0answers
29 views
How to visualize/interpret text prediction model results?
I am using LSTM model to predict the next xml markup from an input seed.
I have trained my model on 1500 xml files. Each xml file is generated randomly. I am wondering if there is a way to visualize ...
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vote
0answers
134 views
Deep learning model (LSTM) with temporal and non temporal attributes
I'm working on a project to predict the usage of all the files in a filesystem in near future based on the metadata of the file system for past 6 months. I've got the following attributes about the ...
-2
votes
1answer
29 views
How to identify correlation in product sales and generate new products
My final project at college is a "selling software", where i have the list of products (ice cream) and the sells.
Its all done, but since im new with ML, i dont know which lib to use to achieve my ...
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0answers
59 views
Will commercialisation and widespread use of A.I in security and surveillance and other household products threaten free will or endanger privacy?
Everything from facial recognition to the google home is coming equiped with A.I and it is being widely used , If autonomously connected to the internet , will A.I pose a threat to privacy or will it ...
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0answers
39 views
Best way to predict future frame of movie or game?
Using a neural network the method seems to be that you end up with a probability for each possible outcome.
To predict the next frame in a monochrome movie of size 400x400 with 8 shades of gray, it ...
2
votes
1answer
138 views
What is the difference between a feed-forward neural network and a liquid state machine?
I have used a FFNN and LSM to perform the same task, namely, to predict the sentence "How are you". The LSM gave me more accurate results than FFNN. However, the LSM did not produce perfect prediction ...
2
votes
1answer
172 views
3
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1answer
175 views
RTS Construction Layout AI
So, I am trying to create an AI to handle the construction layout of a real time strategy game like Age of Empires II. The process has too many steps to be handled effectively by brute force, but also ...
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0answers
260 views
Application of Ai to task scheduling problems on heterogenous platforms
Let's say we have a cluster of 20-2000 heterogenous compute nodes.
Consider for example the parallel solution of the helmholtz equation:
Now we want to distribute the solution process and, to make ...
3
votes
1answer
73 views
Predict value from image set
I have a large dataset of skin images, each one associated with a hydration value (percentage).
Now I'm looking into predicting the hydration value from an image. My thinking: train a CNN on the ...
3
votes
1answer
280 views
How come that the addition of features can decrease the performance of a neural network?
I have a Remaining Useful Life (RUL) prediction problem that I want to solve. When I added two or more features as inputs to my ANN, the accuracy of my ANN has been decreased. More precisely, I've ...
1
vote
1answer
43 views
Predicting popular times
I have a MySQL database that contains datetime for every check-in with an RFID card. I have millions of records in it. It shouts machine learning prediction for me.
So I'd like to predict popular ...
2
votes
0answers
66 views
What are suitable predictive analytics models for data from multiple sensors?
I am a newbie in the field of AI/ML. I am trying to implement predictive analytics model on the data generated and collected every minute from a device with sensors.
I have two questions:
What are ...
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0answers
669 views
Forecasting and predict using matlab Artificial Neural Network [closed]
I selected the below data set for forecast and predict using artificial neural network as my final year project. https://archive.ics.uci.edu/ml/datasets/Bank+Marketing. I normalized the data set and ...
12
votes
5answers
14k views
Can a neural network be used to predict the next pseudo random number?
Is it possible to feed a neural network the output from a random number generator and expect it learn the hashing (or generator) function, so that it can predict what will be the next generated pseudo-...
7
votes
2answers
198 views
Which predictive algorithm can be used to predict a number given other numbers?
I am currently searching for a supervised learning algorithm that can be used to predict the output given a large enough training set.
Here's a simple example. Suppose the training dataset is ...
2
votes
2answers
876 views
Selecting the right algorithm to predict disease from questions
I'm trying to come up with the right algorithm for a system in which the user enter symptoms and we starts triggering questions related to that symptoms and his answers will result a disease which is ...
