Questions tagged [prediction]
For questions about prediction of a certain quantitative or a qualitative value by an algorithm
53
questions
2
votes
0answers
11 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
102 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
votes
0answers
13 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 - ...
1
vote
0answers
31 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
40 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
39 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
78 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
25 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 ...
0
votes
0answers
10 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
votes
0answers
27 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={...
0
votes
1answer
60 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
66 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
131 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
81 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
45 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
18 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
123 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
59 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
145 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
195 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
585 views
Is the singularity concept mathematically flawed?
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 ...
1
vote
0answers
28 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 ...
1
vote
0answers
132 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
27 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 ...
1
vote
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 ...
1
vote
0answers
37 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
128 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
159 views
3
votes
1answer
170 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 ...
1
vote
0answers
259 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
65 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 ...
1
vote
0answers
245 views
how to improve accuracy of ANN
I have a ANN but when I added two or more features as inputs to it, the accuracy of my ANN has been decreased. I have a remaining useful life (prediction of RUL) problem that I want to predict. When ...
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
64 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 ...
1
vote
0answers
623 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 ...
10
votes
5answers
13k views
Using Machine/Deep learning for guessing Pseudo Random generator
Is it possible to feed a neural network, the output from a random number generator and expect it learn the hashing/generator function. So that it can predict what will be the next generated number? ...
7
votes
2answers
196 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
853 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 ...
0
votes
1answer
77 views
What are the pros and cons of using a spatial transformation network to predict the next video frame?
I've read through a few papers on next frame prediction from a sequence of frames and several of them use spatial transformations (STNs). See this as an example. I want to know what are the pros and ...
2
votes
0answers
140 views
Preprocessing of training dataset for machine learning
I'm developing a log analyzer to predict and find errors in an equipment. Each logged data contains the following format:
...
1
vote
1answer
60 views
ANN Shape for Sale Prediction
The inputs (features) and expected output for my ANN are these:
Input 1: Product id (number, cast to double)
Input 2: Year in the past (1900..2017, cast to double)
Input 3: Month of year (1..12, cast ...
9
votes
3answers
577 views
Do I need classification or regression to predict the availability of a user given some features?
While studying data mining methods I have come to understand that there are two main categories:
Predictive methods:
Classification
Regression
Descriptive methods:
Clustering
Association rules
...
2
votes
0answers
127 views
Creating a neural network for predicting next vote in a series of votes [closed]
We are working on a project for creating music based on crowd sourcing. People vote for every note until the vote is closed, and then move on to the next vote until the canvas for the music is filled. ...
3
votes
3answers
371 views
What could possibly replace artificial intelligence?
There is no doubt as to the fact that AI would be replacing a lot of existing technologies, but is AI the ultimate technology which humankind can develop or is their something else which has the ...
2
votes
2answers
291 views
When will artificial intelligence equal human intelligence?
What are the current best estimates as to what year artificial intelligence will be able to score 100 points on the Stanford Binet IQ test?
