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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86 views

Agent exploration which leads to a negative state where actions are limited

I'm working on a project where I train a Q-learning agent to learn an optimal control policy for a water heater. I've set up a simulation which allows the agent to explore for one year. I then examine ...
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95 views

Infer dependent variables to produce output aligned to trained data

Hypothetical example, say I wanted: P(gender,ethnicity|age,hair); so that the input would aligned to a trained dataset of: ...
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1answer
135 views

What is the difference between classical and quantum machine learning?

By classical, I mean the current Machine learning Algorithms we have, according to the current status of Machine Learning field, some we have or might have not gained the in-depth aspects which will/...
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1answer
412 views

How to find partial derivative of softmax w.r.t logits in python

i have trouble implementing back propogation for multi class classification of CIFAR10 dataset My neural network has 2 layers forward propagation X -> L1 -> L2 weights W are initialized as random ...
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18 views

How do I save an Ensemble Learning model?

I need to save it to my PC so that I can run it with a simple .load() function if something disconnects on the platform I'm using (Google Colab). For demonstration purposes, I just want to load the ...
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29 views

How to Layer based Feature extraction?

I have read that in deep networks you can engineer each layer for a particular purpose with regards to feature learning. I'm wondering how that is actually done and how it is trained? In addition ...
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25 views

pooling m datasets in MICE imputation

I'm trying to understand MICE imputation process, I have read some articles and I have understood how the imputation happens, but I didn't get the pooling step. After analyzing the resulting datasets ...
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19 views

Reasoning behind $Zero$ validation accuracy in the following ResNet50 model for classification

I have written this code to classify Cats and dogs using Resnet50. Actually while studying I came to the conclusion that Transfer learning gives very good accuracy for deep learning models, but I ...
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11 views

FastAi How to turn off crop in ImageDataBunch

I just trained my birds model. It works fine when I was testing it with close pictures. But when I moved the pictures further away my camera, the model was not able to detect birds. My guess is in ...
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15 views

How would an AI learn the concept of the words “repeat twice”?

In a hypothetical conversation: Person A - "Repeat the word 'cat' twice". Person B - "cat cat". I'm thinking about how a human or AI can learn the concept of "...
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14 views

Deciding std. deviation for policy network output?

When I try to fit a Normal Distribution to the output of a policy network, for a continuous action space problem, what should be its standard deviation? mean for the distribution will directly be the ...
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36 views

Is there an audio dataset with the corresponding phonemes in the audio?

I am looking for a dataset of clear audio, a corresponding transcript (optional), and most importantly a list of all the phonemes said in the audio, with the length of each phoneme and a mention of ...
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10 views

Why would the application of kernelization prevent underfitting

"Why would the application of kernelization prevent underfitting" I read in some paper that applying kernelization would prevent you from underfitting. Why is that? Source: http://www.cs.cornell.edu/...
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36 views

Can supervised learning be used to solve the inverted pendulum problem?

I know that reinforcement learning has been used to solve the inverted pendulum problem. Can supervised learning be used to solve the inverted pendulum problem? For example, there could be an ...
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19 views

What are examples of models for traffic sign detection that can be easily implemented?

I'm working on a college project about traffic sign detection and I have to choose a paper to implement it, but I have basic knowledge of TensorFlow and I'm afraid of choosing a paper that I can't ...
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13 views

Model training with colored images instead of grayscale

I'm new to Python and Deep Learning with Keras. With some tutorials online for cat vs non-cat classification, I was able to compile this simple training code for my ...
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29 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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2answers
56 views

Knowledge encapsulation in machine learning

The thing about machine learning (ML) that worries me is that "knowledge" acquired in ML is hidden: we usually can't explain the criteria or methods used by the machine to provide an answer when we ...
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19 views

Are AI systems that Screen Job Applicants in a Video Call likely to be Legal?

There was an interesting piece in the Washington Post on Tuesday discussing the growing use of HireVue. HireVue is used to screen applications for jobs. It appears to do this both by administering ...
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54 views

How can I remove the noise from an EEG signal?

I am working on a project that takes signals from the brain and preprocesses them and then makes the machine learn about what human is thinking about. But I am struck in preprocessing of signal (...
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15 views

Looking to use AttnGAN and train it myself using my own images. Is this possible? How difficult would this be for myself to learn?

I am an artist and I am interested in training an image generating AI, specifically AttnGAN, using my own images. I would also consider hiring someone to set this up then show me how to use it, but I’...
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72 views

How does keras `train_on_batch` return value work?

From the doc, train_on_batch() will return a scalar representing the loss and the metric. I want to know whether the loss/metric is evaluated before the weight is ...
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10 views

Why word embedding such as word2vec is not used as the output layer of a seq2seq decoder?

It would make sense to make the decoder predict a smaller embedding vector instead of softmax over a large dictionary. The word having the most cosine similarity with the output embedding could be ...
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16 views

How to recognize two different objects with the similar shape, but different size

I am using Mask-RCNN neural network. I retrained my network to detect and mask wheels of die-cast toy cars. I am using images, which present the side of the car (left or right). Sometimes the cars ...
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51 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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18 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 - ...
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26 views

Is federated learning a privacy breach?

Is federated learning a privacy breach, given that the model transmission, for a period of time, may cause the adversarial to reach and manipulate the model and the data?
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1answer
26 views

Real time ticket similarity

I'm dealing with a "ticket similarity task". Every time new tickets arrive at the help desk (customer service), I need to compare them and find out about similar ones. In this way, once the operator ...
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7 views

Learning to rank on collections of ordered objects?

Are there examples of LTR algorithms applied to variable length lists of ordered objects? E.g. perhaps 4 specific photos in a sequence layout would rate higher than another 3 or another 4 where the ...
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11 views

Is there any reason to believe a ml pipeline that works on dataset A will work on dataset B where both have similar meta features?

I’m working on generating an automl pipeline(a combination of data cleaning and transformation algorithms applied to a dataset then generate a model) that works on a new dataset by looking for past ...
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43 views

How to build naive bayes graph from data

For an university assignment I have to use the HuginLite software to do some probabilistic inferences with different algorithms. One of these algorithms is Naive Bayes but its graph is not built ...
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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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21 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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17 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
42 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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18 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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29 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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70 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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32 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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2answers
340 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.