Questions tagged [machine-learning]

For questions related to machine learning (ML), which is a set of methods that can automatically detect patterns in data, and then use the uncovered patterns to predict future data, or to perform other kinds of decision making under uncertainty (such as planning how to collect more data). ML is usually divided into supervised, unsupervised and reinforcement learning. Deep learning is a subfield of ML that uses deep artificial neural networks.

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24 views

How to update Loss Function parameter after compilation

I used following custom loss function. ...
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1answer
20 views

How can I cluster based on the complementary categories?

K-means tries to find centroid and then clusters around the centroids. But what if we want to cluster based on the complement? For example, suppose we have a group of animals and we want to cluster ...
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19 views

Suggestions for Deep Learning for regression on huge 3D volumes

I have a dataset of 3D images (volumes) with dimensions 400x250x400. For each input image I have an output of the same dimensions. I would like to train a machine learning (or deep learning) model on ...
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14 views

How to use FSICFR (or CFRM) trained result in real dice game playing

I trained a Liar Dice game (similar rule please refer to https://www.wikihow.com/Play-Liar%27s-Dice , and i am using 2 player + 1 dice vs 1 dice) with FSICFR algorithm and got an information set with ...
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1answer
37 views

Preparation of input data

Tell me why my val_acc is always the same and how to solve this problem? I saw several topics on the Internet specifically on this problem but they did not help me (for example, use SGD with different ...
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17 views

Can i feed 1 image into a caffe model to fine tune it?

We have a caffe model that classifies NSFW images and gives a score from 0 to 1. Sometimes non-nsfw images are classified with a high score. I am thinking if it is possible to feed those images to the ...
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14 views

What is interval of the initial weights at Matlab neural network tool?

What is interval of the initial weights at Matlab neural network tool?Yes I know it is randomly but are there limitation?
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30 views

Al online course

I have learned embedded systems Now I need an online course in artificial intelligence to make a project mixing between them (es&ai)
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11 views

Scikit-Learn: monotoneous quantile estimation

I would like to implement various AI-estimators for quantile estimation for a regression problem. It would be necessary to have non-crossing quantiles, that is larger quantiles would correspond to ...
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25 views

What are the advantages of time-varying graph CNNs compared to fixed graph?

As I wrote in the title, what are the advantages of time-varying graph CNNs compared to fixed graph? For example, in CORA, which is a graph of citation relations of papers frequently used in graph CNN,...
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25 views

I am looking for research related to the use of AI and ML in car, aeronautics manufacturing design and safety

I am specifically interested in the topic of edge cases. I have the presentation Edge Cases and Autonomous Vehicle Safety as a starting point, in particular on page 6: Machine Learning (inductive ...
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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={...
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35 views

How to approach a problem with infinite solutions

Think Angry Birds kind of game. You need to hit a target at some point by adjusting angle and power. There is infinite number of parabolas that will solve this problem. My problem is not exactly that ...
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20 views

why my regression model predict every datapoint to the same value

I am trying to train a SVR but I found that with some combination of features, the trained SVR predict every point in test set to the same value. this problem occurs much more when I use linear kernel ...
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57 views

Super Resolution on text documents

I want to implement super-resolution and deblurring on images from text documents. Which is the best approach? Are there any Git-hub links which will help me to start? I am new to the field. Any help ...
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23 views

Multiple embedding layers?

How would one go about inputting multiple high dimensionality categorical columns using TensorFlow's Embedding Feature Columns? Does that even make sense to do? For example: for a car price predictor,...
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7 views

Is there anyone who tried to discretize a continuous feature using the FDIC method(Frequency Dynamic Interval Class) ? (seems a great method)

I want to discretize a continuous attribute, I applied a lot of methods but it's clear that i'm losing information at each time, until I found the FDIC method wich seems great but I couldn't ...
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296 views

Examples of Rote Learning in AI

What can be the examples of Rote Learning in Artificial Intelligence to understand it more easily? Any references are appreciated.
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31 views

Which libraries can be used for image caption generation?

Which libraries can be used for image caption generation?
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20 views

Parameterized Coordinates in Region Proposal Networks (RPNs) for Faster R-CNN

In the original Faster R-CNN paper, the authors parameterized the box coordinates for regression under RPN. Below is the snippet of how they computed it:        &...
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96 views

Human Pose Comparison

I'm trying to create a service which compares 2 human poses as a part of my main application. I managed to plot skeletons on the images using OpenPose. A detailed explanation of my question: I have 2 ...
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6 views

What services are available for interpreting batches of text in order to determine their topic and/or summary?

I'm aware of the services from Microsoft and AWS, that may be able to used for such an application. Please let me know how these fare, and if other similar services exist elsewhere: https://azure....
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12 views

Embedding Gensim fast-text

Would you suggest to train my own Fast-text embedding using the Gensim library despite i have 1800 sentences and 2k vocabulary length? Don't you think there are too few words? or is there not a ...
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27 views

How do I create syntactically correct sentences given several words?

Is there an AI application that can produce syntactically (and semantically) correct sentences given a bag of words? For example, suppose I am given the words "cat", "fish", and "lake", then one ...
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13 views

How to gauge importance in random forest when there is overlap between variables

I have a dataset where I'm trying to gauge the importance of certain drivers (X and Y) over various time periods. I'd like to look at the importance of certain ranges of times, which will overlap with ...
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28 views

How can the bias and the coefficient be calculated in logistic regression?

How can the bias, $b_0$, and the coefficient for the single input value, $b_1$, be calculated in logistic regression? I am trying to calculate these coefficients with pure Python. Can anybody ...
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11 views

Denoising and Improving the Quality of Scanned Books

I want to restore missing parts from a character. You can see some examples after the pages are edited with Scantailor: Note that I want to keep the same font, so I don't want just to OCR and create ...
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48 views

How to Add Spp(Spatial Pyramid pool) layer to CNN network?

i create A model based on ELA [error level Analysis] for image forgery detection i use the following code : ...
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22 views

What are the reference papers of image captioning model 'all_img', 'att2in2', 'adaattmo' and 'topdown'?

I Want to cite the reference paper of The models appeared in this webpage: https://github.com/ruotianluo/ImageCaptioning.pytorch/blob/master/models/init.py But which papers do these four models '...
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2 views

How to improve the AUC - test of LightBoost based on BayesSearchCv

I need to use LightGBM for improve the auc score of my binary classification algorithm. I have used BayesSearchCv with score:"roc-auc" but i dont know how can i make it able to search the best ...
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1answer
48 views

Facial Recognition + Database + Compare & Identify - is it complicated?

The last week I've been looking for freelancers who are able to do this project for me but they weren't that experienced in it, so I would like to know whether my idea is complicated or is it their ...
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27 views

What is the difference between Pynq and Zynq boards for ML/DL applications?

I'm a researcher and my research involves using ML/DL network, and me with my advisor are evaluating the available FPGA boards available that fit our budget. We came across these 2 boards, Pynq and ...
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29 views

Word vector representation for feature extraction from log file

I am trying to generate a word vector representation of the textual descriptions of events from the log file in a distributed system. The logged events are time series data and correlated. During the ...
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34 views

How is the convolution operation used in CNNs a special case of the convolution operator?

How is the convolution operation used in convolutional neural networks (CNNs) a special case of the mathematical convolution operator? Most of us, when we think of the "convolution operation", we ...
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19 views

Requirement Traceability

In my project I have around 10K requirements and 60K test cases. I would like to use some AI techniques to handle the requirement to Test case mapping. I don't know which AI methos or techniques I ...
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59 views

Having trouble solving Pong. My model is not improving

Im trying to solve pong by a DQN approach. These are my hyper parameters: ...
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107 views

How to back-propagate illegal actions for policy gradient learning

When training a AI RL agent to play a game there'll be situations where the AI cannot perform certain actions lest they violate the game rules. That's easy to handle, and I can set illegal actions to ...
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47 views

How do I apply batch normalization to my algorithm?

I am working lately on batch normalization for the last couple of days, but I just can't seem to solve it on how to apply it. So, to give the full code to you, I will just send the implementation. ...
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1answer
135 views

What is the best machine learning algorithm to select best 3 variable combinations?

I have 10 variables as like below V1=1, V2=2, V3=3, V4=4, V5=5, V6=6, V7=7, V8=8, V9=9 and V10=10 Note : Each variable can have any value Now I want to select the best 3 variables combination as ...
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26 views

Isolate the speech of two people in an audio record with two people only

I would like to find a way to isolate the speech of each of the people in an audio record so I can create a file of that form : ...
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22 views

Feature selection optimization and hyperparameters optimization for one model

Question is purely theoretical. I am desiging a machine learning model for classification purposes. I am using GridSearch optimization method to select best hyperparameters and I have written ...
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1answer
31 views

Machine Learning papers for matching packets to request flows

I'm currently doing a research project related to Distributed Tracing. My research has led me to a point where I think ML might be suited for our problem. I'm looking for papers that are similar to ...
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40 views

How to use 0 padding with mask layer to handle variable lenght of my inputs in case of Multi-Layers Perceptrons?

We wanna build a DNN model to predict unrolling factor though our features represent variable length of inputs. Knowing that we have to give our features at once "0 padding" look like the only ...
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67 views

Using AI to guess a mathematical pattern of certain polynomials in four variables: practical challenge

I'd like to use machine learning to guess a mathematical pattern: the input are certain polynomials in four variables $q_1,q_2,q_3,q_4$, the output can be zero or one. Allowed polynomials are such ...
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35 views

How to make episode ending “good” in reinforcement learning?

TL;DR: read the bold. The rest are details I am trying to implement Reinforcement Learning:An Introduction, section 13.5 myself: on OpenAi's cartpole The algorithm seems to be learning something ...
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93 views

How to correctly discount actor critic with experience replay?

In my related question, I asked about the one step actor critic from The Reinforcement Learning Book by Richard Sutton et al, section 13.5: The learning is becoming less significant as the episode ...
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1answer
21 views

How to perform structure learning for Bayes Net given already partially constructed net?

Let assume that we have dataset of variables (random events), I apriori would like to set dependency conditions between some of them and perform structure learning to figure out the rest of the net. ...
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22 views

How to remove unwanted signals from the sensor measurement?

I have 2 tabular datasets, one is clean and one is drifted. They are records of sensor measurements. I move the sensor around in the room and collected thousands of measurements. I have a sensor that ...
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1answer
41 views

What AI designs are suited for producing title replacements?

Problem: "For a given news article, generate another title for the article if the article is to be published under a different Publication." Which algorithm will be well suited for this? Should I use ...