Questions tagged [prediction]

For questions about prediction of a certain quantitative or a qualitative value by an algorithm

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12 views

will TensorFlow utilize GPU for predictive Analysis? [closed]

GPU is good for parallel computing but the problem is some machine learning libraries don't utilize the GPU, unless that machine learning based on image processing or some sort of graphics processing, ...
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1answer
21 views

Predict next event based on previous events and discrete reward values

Suppose, I have several sequences that include a series of text (the length of sequence can be varied). Also, I have some related reward value. however, the value is not continuous like the text. It ...
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11 views

Root finding in Deep Equilibrium Models

In the Deep Equilibrium Model the neural network can be seen as "infinitely deep". Training learns a nonlinear function as usual. But there is no forward propagation of input data through ...
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1answer
68 views

How to perform prediction when some features have missing values?

Sorry if this is too noob question, I'm just a beginner. I have a data set with companies' info. There are 2 kinds of features: financial (revenue and so on) and general info (like the number of ...
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1answer
25 views

How to use a NN for seq2seq tasks?

I am trying to make a NN(probably with dense layers) to map a specific input to a specific output (or basically sequence2sequence). I want the model to learn the relation between the sequences and ...
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2answers
29 views

How to train a model to predict the number of people at a certain bus stop before they cumulate in large numbers?

Each person probably uses an app that tracks his/her position periodically and sends it to our servers. What I want is to use these data to train a model to predict the rush hours of each bus-stop on ...
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1answer
26 views

Compressing text using AI by sending only prediction rank of next word

Is there any effort made to compress text (and maybe other media) using prediction of next word and thus sending only the order number of the word/token which will be predicted on the client side i.e ...
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21 views

Does a constant low validation loss mean great model accuracy?

This is more of a conceptual question that I am asking here. I am using an encoder-decoder model with Bidirectional LSTMs used as a time series regression problem. I train it with a sufficiently low ...
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1answer
39 views

What ML algorithm should I use that suits this data?

What if I have some data, let's say I'm trying to answer if education level and IQ affect earnings, and I want to analyze this data and put in a regression model to predict earnings based on the IQ ...
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1answer
28 views

When adding a feature is useless?

"simple" issue: I'm building a model, where from a feature set A I want to predict a target set C; I need to understand if another feature set B, together with A, can improve my model ...
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1answer
51 views

Which machine learning approach can be used to predict a univariate value?

I have a stream of data coming in like below (random numbers 0-9) 7, 7, 0, 0, 8, 9, 2, 7, 3, 8, 2, 8, 5, 7, 0, 8, 7, 8, 5, 3, 2, 6, 1, 9, 5, 7, 5, 3, 4, 9, 1, 3, 5, 5, 0, 7, 7, 5, 2, 8, 8, 7, 5, 5,...
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21 views

Sales Planning using Predictive Analytics, which method

i'm new to the topic of data science / AI and would like to start implementing a method which predicts sales planning data based on sales planning data from the past years. Hence, to do forecasting ...
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31 views

How can I predict the label given a partial feature vector?

Most of the traditional machine learning algorithms need a feature vector of a constant dimension to predict the label. Which algorithms can be used to predict a class label with a shorter or ...
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22 views

Is there a difference between using 1d conv layers and 2d conv layers with kernel with size of 1 along other than time dimension?

Let's assume I use convolutional networks for time-series prediction. Data I feed to the network have 1 channel depth, height of number of periods and number of features is the width, so the frame ...
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36 views

Confidence Interval around prediction with bootstrapping

I want to generate a confidence interval around my prediction (vector) $\hat{y}$. I have implemented the following procedure. However, I am not sure whether this makes sense in a statistical way: I ...
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29 views

3d representation of a regression with two independent variables one of them is categorical and another is continuous

I have hopefully a fundamental question of Do I understand things right. (Thank you in advance and sorry for my English which might be not so good) 1-Preambula 1: I know that if we have 2 independent ...
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2answers
135 views

How to implement AI strategy for Mastermind

I'm looking to implement a AI for the turn-based game Mastermind in Node.JS, using Google's Tensorflow library. Basically the AI needs to predict the 4D input for the optimal 2D output ...
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1answer
90 views

What are modern state-of-the-art solutions in prediction of time-series?

I wanted to ask you about the newest achievements in time series analysis (mostly prediction). What state-of-the-art solutions (as in frameworks, papers, related projects) do you know that can be used ...
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1answer
78 views

What is the best approach to build a self-learning AI chatbot?

I am a novice in AI and I like to build a chatbot to predict diseases using patient narration as input. Initially, I simply want to train my chatbot on 1 disease only. And once this initial milestone ...
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4answers
96 views

How can artificial intelligence predict the next possible moves of the player?

When you play video games, sometimes there is an AI that attempts to predict what are you going to do. For example, in the Candy Crush game, if you finish the level and you still have moves ...
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2answers
80 views

How should I select the features for predicting diseases (in particular when patients specify their health issues)?

My aim is to train a model for predicting diseases. Now, according to this Wikipedia article, diseases are classified based on the following criteria in general: Causes (of the disease) Pathogenesis (...
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31 views

How should I go about selecting an optimal num_units within a LSTM cell for different sequence sizes

I am currently working on a stock market prediction model which incorporates sentiments along with historical price for next day price prediction. I wanted to test different window / sequence size e....
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17 views

Irregular results while prediction identical object on same image

I used the pre-trained model faster_rcnn_resnet101_coco.config with my own dataset. I have two issues some objects were not detected, while I learned it, with a high number of steps, and test over ...
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43 views

Predicting population density from satellite imagery

I have very high resolution images from LANDSAT 8 (5 out of 12 bands), which are of various administrative regions of a country. Each image is of variable dimensions, but generally of the order of [...
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0answers
72 views

Predict a value calculated from a hash (and hash before that hash)

I have a hash, e.g. 552c51576e2a6dec462b0d56af8c31713e26a763c0e2a3d48ebbf4b99958eeba. This hash hashed again, is ...
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1answer
35 views

Convert input dataset given in hex addresses to int

I have created an LSTM Neural Network which take as input the following format in an .csv file ...
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1answer
58 views

What's the best architecture for time series prediction with a long dataset?

I have to build a neural network without any architecture limitations which have to predict the next value of a time series. The dataset is composed of 400.000 values, which are given in hex format. ...
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2answers
111 views

Why are the terms classification and prediction used as synonyms in the context of deep learning?

Why are the terms classification and prediction used as synonyms especially when it comes to deep learning? For example, a CNN predicts the handwritten digit. To me, a prediction is telling the next ...
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2answers
79 views

Why is my model accuracy high in train-test split but actually worse than chance in validation set?

I have trained a XGboost model to predict survival for the Kaggle Titanic ML competition. As with all Kaggle competitions there is a train dataset with the target ...
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0answers
86 views

How I can predict the next number in a sequence with a neural network?

I've been dabbling with machine learning and neural networks (namely, resnet50) for a few months now, mostly doing image recognition. I am currently trying to make a program that, given a string of ...
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1answer
52 views

Predicting probabilities of events using neural networks

I've got a few thousands of sequences like 1.23, 2.15. 3.19, 4.30, 5.24, 6.22 where the numbers denote times on which an event happened (there's just a single ...
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1answer
35 views

Predicting a day's data

I have a dataset containing timestamp and temperature. For each day, I have 1440 values viz., I have data for every minute of that day(60minutes * 24hrs = 1440). The Dataset looks like this: As an ...
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100 views

RNN models displays upper limit on predictions

I have trained a RNN, GRU, and LSTM on the same dataset, and looking at their respective predictions I have observed, that they all display an upper limit on the value they can predict. I have ...
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2answers
100 views

Is there an AI technology that can predict human behaviour?

Is there an AI technology out there or being developed that can predict human behaviour, given that we as humans are irrational decision-makers? I'm looking at this from an economic standpoint - the ...
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2answers
553 views

Can a neural network be used to predict a sequence of integers based on dataset of previously produced random numbers?

What i really want to do, is to predict an integer sequence of (5 numbers with values from 1 to 50) for example based on a big dataset of other 5 numbers sequences with same values range created by ...
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41 views

How can I predict the nutrients in dishes given the ingredients used to prepare them?

I want to know which algorithm will work most efficiently for calculating nutrients present in a food dish if I am giving the ingredients used in the food. Basically, let us assume that I want to make ...
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0answers
25 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(...
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1answer
46 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 ...
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18 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: ...
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2answers
106 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 ...
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1answer
99 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 ...
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0answers
153 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. ...
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1answer
269 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?
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19 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 ...
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2answers
151 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 ...
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49 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 ...
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21 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 ...
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1answer
73 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 ...
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0answers
90 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 ...
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2answers
71 views

Can a data compression function be used to make predictions?

I've heard that prediction is equivalent to data compression. Is there a way to take a compression function and use it to create an AI that predicts?