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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114 views

Keyword spotting with custom keywords and why not use speech recognition instead

My question regards performing keyword spotting for custom keywords and justifying the use of keyword spotting models instead of speech recognition. I have been doing some searching around Keyword ...
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1answer
57 views

Deep audio fingerprinting for word search

Simply speaking, I'm trying to somehow search an audio clip for a list of words, and if found, I mark the time stamps. My use-case is profanity check with a list of pre-defined profane words. Is ...
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37 views

How could I locate certain words or numbers in a financial statement?

I would like to code a script that could locate a specific word or number in a financial statement. Financial statements roughly contain the same information, they are however not identical and ...
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11 views

Is there any time-varying directed graph dataset?

I am interested in the node classification task for graph data. So far,I've tried it with the Cora dataset, but it is an undirected graph and has word attributes as features. I want to extend this ...
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44 views

Understanding the partial derivative with respect to the weight matrix and bias

Say we have the layer $X W + b = Y$. I want to get $\frac{dL}{dW}$ and we assume I have $\frac{dL}{dY}$. So all I need is to find $\frac{dY}{dW}$. I know that it should be $X^T\frac{dL}{dY}$ but don'...
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101 views

Prove that in such cases, it is possible to find an ERM hypothesis for $H_n$ in the unrealizable case in time $O(mnm^{O(n)})$

Let $H_1$ , $H_2$ ,... be a sequence of hypothesis classes for binary classification. Assume that there is a learning algorithm that implements the ERM rule in the realizable case such that the ...
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82 views

Are there any deep learning techniques to use the content of an image for another image?

Are there any machine learning or deep learning techniques to use the content of an image for another image? More specifically, suppose I take a photo of a notebook. I get the angle, lighting, and ...
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49 views

Intelligent reflecting surface

I wanted to know about Intelligent reflecting surface (IRS) technology. what is the application of IRS in wireless communication? what are the competitive advantages over existing technologies?
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171 views

How is Average Recall (AR) calculated for an object detection model?

After looking around the internet (including this paper, I cannot seem to find a satisfactory explanation of the Average Recall (AR) metric. On the COCO website, it describes AR as: "the maximum ...
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229 views

Threshold selection for Siamese network hyper-parameter tuning

I'm interested in modeling a Siamese network for facial verification. I've already written a simple working model that inputs feature vectors generated from two CNNs with shared weights then outputs a ...
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17 views

Applying ML algorithms to data-sets with similar meta-features?

Is there any grounds for assuming an algorithms applied to a data-set that created a decently accurate model will perform as well on a different data-set with meta-features chosen and evaluated by ...
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28 views

How to update Loss Function parameter after compilation

I used following custom loss function. ...
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71 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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55 views

How to train and update weights of filters

I have some problems with training CNN :( For example: Input 6x6x3, 1 core 3x3x3, output = 4x4x1 => pool: 2x2x1 By backpropagation I calculated deltas for output. This tutor and other tutors are ...
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17 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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37 views

How do you scale your ML problems?

While I have limited resource usually to train my machine learning models, I often find that my hyperparameter optimization procedure is not necessary using all my GPU and CPU, and that is because the ...
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21 views

Are there some formulae in facial recognition that are indicators of close kinship?

I noticed what I considered a close resemblance of a woman B to another woman A which led to a close relative A labelled C, who B bore an even stronger resemblance to than she did to A. However I ...
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67 views

How can an ANN efficiently predict multiple numbers with fixed sum (in other words, proportions)?

I need a neural network (or any other solution) to predict 3 values which sum equals a fixed number (100). This will help me calculate proportions. Which is the most efficient way to do this? The ...
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103 views

Reward problem in A2C with multiple simultaneous discrete actions

I've built an A2C model whose actor's network has two different kinds of discrete actions, so the critic would take state and action (note that critic takes 2 actions because in each timestep we will ...
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48 views

Unique game problem (ML, DP, PP etc)

Looking for a solution to my below game problem. I believe it to require some sort of reinforcement learning, dynamic programming, or probabilistic programming solution, but am unsure... This is my ...
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64 views

What can be inferred about the training data from a trained neural network?

Suppose we trained a neural network on some training set that we call $X$. Given the neural network and the method of training(algorithm, hyperparameters etc.) can we infer anything about $X$. Now, ...
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67 views

How do I determine the generalisation ability of a neural network?

I am trying to ascertain if my neural network is able to generalize or if it’s simply using memory/overfitting to solve a task. I would like my model to generalise. Currently, I train the neural ...
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17 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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68 views

Is this a classification problem?

I’m not really sure which machine learning approach is best for my problem at hand. I work in an engineering company that designs and builds different kinds of ships. In my particular job, I collect ...
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64 views

How can I develop this ML/AI system that I want to use in my new mobile app?

I have an idea for a new mobile app. Here is what I want to accomplish using AI; I want to get an image (png format), (maybe just byte data too), from my application (I'm developing with Unity3D/C#), ...
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30 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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11 views

Reducing the Number of Training Samples for collaborative filtering in recommender systems

I have the following problem: I am doing some research on the accuracy of recommender algorithms that are mostly used nowadays. So, one way to measure their performance is by checking how well they ...
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32 views

Which model to use when selecting objects of interest?

I have a set of polygons for each image. Those polygons consist of four $x$ and $y$ coordinates. For each image, I need to extract the ones of interest. This could be formulated as an Image ...
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34 views

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

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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39 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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24 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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14 views

Questions regarding rrn-writer by Robin Sloane?

https://github.com/robinsloan/rnn-writer I preface this by saying I do not know much about this topic, only that I have an intense interest in it, so I'm hoping I can make my questions as clear as ...
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1answer
164 views

Why should each filter have different weights for each input channel?

From the answers to this question In a CNN, does each new filter have different weights for each input channel, or are the same weights of each filter used across input channels?, I got the fact that ...
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247 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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12 views

Are hadoop ecosystem tools main goal is to break up large data sets into fast readable files?

I am new to big data theory, and during the past 3 days, I took an official big data course with some of the best instructors available in my country in this domain. The things was little bit obscure ...
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37 views

One end to end Neural network or many task-specific ones?

Is it better to train one neural network for a dispersed labeled data with large number of classes or first classify data by unsupervised learning then train each part by a separate NN? I mean by ...
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97 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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39 views

String matching algorithm for product recognition

I'm building a web application that collects schema.org data from different webshops as Amazon, Shopify, etc. It collects data every 6h and shows the current and lowest price. It is used for ...
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108 views

DQN not able to learn in a game where other agents perform random walks

I am making a school project where I should develop any kind of game where I can have one reactive agent and one agent based on machine learning competing with each other. My game consists of a ...
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21 views

N fold Cross Validation

I want to make 8 fold cross validation from the dataset. The dataset is the musical onsets annotated which has txt format at each songs. How to make the another folder like called splits (the name ...
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41 views

Deploy notebook in IBM Watson

I have a python notebook in IBM Watson Studio for a time series forecasting purpose. it takes two input data MAX MIN and it returns two lists of data having 10 steps ahead prediction of both ...
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34 views

Speech to text models

I'm currently using google speech to text api to transcribe audio in real time (police scanner audio dispatches). The audio quality isn't great and I've been putting in key words to try to help train ...
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21 views

Estimating Baselines using ALS

I am trying to figure out how ALS works when minimizing the following formula: $\\ \\$ $\text{min}_{\lbrace b_u,b_i \rbrace} \sum_{(u,i)\in \mathcal{K}} (r_{ui} - \bar{r} - b_u - b_i )^2 + \lambda_{...
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24 views

Is it possible to use AI to find music that have a distinct tune?

Without considering lyrics, there are two type of songs: songs that have a distinct tune which you can easily remember, and songs that are the opposite. Can we design a network to identify the songs ...
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22 views

Size of dataset for feature vector with rare event

I'm doing a model to detect duplicate in my database (there is a lot of features that can be different but mean same object in the end) So I have my feature vector for my duplicate dataset which ...
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1answer
51 views

Do we train a logistic regression model using a dataset that is 3 times bigger than the validation dataset?

Suppose we have a data set $X$ that is split as $X_{\text{train}}$, $X_{\text{val}}$ and $X_{\text{test}}$ and the outcome variable is binary. Let's say we train three different models (logistic ...
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19 views

How to combine features with different temporal scale in machine learning

We have various types of data features with different temporal scale. For example, some of them describe the state per second while others may describe the state per day or per month from another ...
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74 views

Simple weakly supervised Object localizetion using keras. How to visualize the results?

I am following this link : Weakly-supervised-object-localization to create heatmap of the region in an image where the CNN looks to identify the class. As per the above mentioned repository , ...
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29 views

Evaluation metrics multi-class classification (ROC- PR curves)

Facing with a multi-class classification task, my question is: are ROC and Precision-Recall (One-vs-All-Rest) curves useful to evaluate and visualize the performance of a model? or Confusion ...
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24 views

Architecture and Use of Different Algorithms for Health Goal Feedback

I wanted to get some opinions from the community for a certain problem that I will be approaching. The problem is to provide feedback to a user based on a image of the upper male torso. The image ...

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