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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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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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Which libraries can be used for image caption generation?

Which libraries can be used for image caption generation?
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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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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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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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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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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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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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30 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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12 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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53 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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24 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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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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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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31 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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37 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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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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71 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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114 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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49 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
156 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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1answer
32 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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24 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
32 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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42 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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139 views

Why am I getting spikes in the values of the loss function during training?

I trained a neural network on the UNSW-NB15 dataset, but, during training, I am getting spikes in the loss function. The algorithms see part of this UNSW dataset a single time. The loss function is ...
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70 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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40 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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101 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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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
46 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 ...
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3answers
92 views

Is there a way of pre-determining whether a CNN model will perform better than another?

I developed a CNN for image analysis. I've around 100K labeled images. I'm getting a accuracy around 85% and a validation accuracy around 82%, so it looks like the model generalize better than ...
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1answer
70 views

multi vs one prediction using Regression

I was trying to build a prediction system where I have the input data arranged in multiple columns. The input data would be of the type where I have weather, service type (bronze, silver, gold), size(...
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38 views

Resources on incremental and online learning novelty detection algorithms

Can you please point me to some good tutorials/examples on the application of incremental (online) learning novelty detection algorithms?
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1answer
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Is there a relationship between the response and predictors?

I have been reading introduction to statistical learning, and I was going through multiple linear regression. This is the topic that I'm reading: As I was reading further, I encountered an equation ...
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1answer
378 views

Machine learning to predict 8*8 matrix values using three independent matrices

Problem Statement I have 4 main input features. This is a small snippet of the data for clearer understanding. Gate name -> for example AND Gate index_1 -> ...
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1answer
202 views

Machine learning to detect wrong address data

I want to use a machine learning algorithm to detect false address data. I learned about neural networks and machine learning at university, but I don't have much experience in this field. Do you ...
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1answer
104 views

AI Algorithms and Processes to Simulate a Personal Trainer

What AI Algorithms and processes would be involved to simulate a personal trainer to provide a virtual solution so people, athletes and schools can have custom workouts to lessen injuries, optimize ...
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2answers
90 views

When is a measurable function a Bayesian decision function?

When is a measurable function a Bayesian decision function? How do I prove this? Can you give an example with standard or weighted binary classification?
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1answer
108 views

Design ads and posters with Machine Learning

I would like to write a program that takes a number of elements as input (some images and some strings) and outputs a design (the program places the images and strings on a canvas, but also styles the ...