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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31 views

Automation the import of files to Database

I don't know if this it's possible but nowadays as almost everything is possible I am asking to see if anyone has any idea. The problem is: Regularly I have to import files (CSV, XML, Excel, ...) ...
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244 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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40 views

Predicting sine using LSTM: Small output range and delayed output?

I have coded a very basic LSTM with forget gates (no libraries used). I'm trying to predict $0.5*sin(t + N)$ given $0.5*sin(t)$ as an exercise. I have tweaked the model, changing the output layer ...
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25 views

Any guidance on learning rate / batch size for noisy data (high Bayes error rate)?

Is there any guidance available for training on very noisy data, when Bayes error rate (lowest possible error rate for any classifier) is high? For example, I wonder if deliberately (not due to memory ...
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30 views

Why is the learning rate is already very small (1e-05) while the model convergences too fast?

I am training a video prediction model. According to the loss plots, the model convergences very fast while the final loss is not small enough and the generation is not good. Actually, I have test ...
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18 views

Azure ML studio pull directly from sharepoint

I am toying around with creating a probability of win calculator for proposals that we do. the information on each proposal is housed in our corporate SharePoint (which I am the admin) Is there a ...
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46 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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395 views

Experiment shows that LSTM does worse than Random Forest… Why?

LSTM is supposed to be the right tool to capture path-dependency in time-series data. I decided to run a simple experiment (simulation) to assess the extent to which LSTM is better able to understand ...
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1answer
25 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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70 views

GPFlow: Gaussian Process Uncertainty Quantification

I trained some Gaussian process model with the Python library GPFlow on a dataset consisting of $(X, Y)$, inputs and outputs, in a regression setting. This model gives me pretty good predictions in ...
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1answer
183 views

Reduce receptive field size of CNN while keeping its capacity?

I have a convolutional encoder (a CNN) consisting of DenseBlocks and a total of 50 layers (cf. FC-DenseNet103). The receptive field of the encoder (after last layer) is 660 according to Tensorflow ...
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13 views

How to use SLAM on other sensor other than camera?

I have a sensor that reads electromagnetic field strength from each position. And the field is stable and unique for each position. So the reading is simply a function of the position like this: <...
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1answer
38 views

Why PCA works well while the total variance retained is small?

I'm learning machine learning by looking through other people's kernel on kaggle, specifically this Mushroom Classification kernel. The author first applyed PCA to the transformed indicator matrix. He ...
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1answer
53 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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370 views

Why do we need both encoder and decoder in sequence to sequence prediction?

Why do we need both encoder and decoder in sequence to sequence prediction? We could just have a single RNN that, given input $x$, outputs some value $y(t)$ and hidden state $h(t)$. Next, given $h(t)$...
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38 views

Train a recurrent neural network by concatenating time series. Is it safe?

As the title says, I want to train a Jordan network (i.e. a particular kind of recurrent neural network) using a certain number of time series. Let's say that $x_1, x_2, \ldots x_N$ are $N$ input ...
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36 views

Unbalanced dataset in regression rather than classification

Assume that we have a labeled dataset with inputs and outputs, where the output range is $\left[0, 2\right]$, but the majority of outputs is in $\left[0, 1\right]$. Should one adopt some kind of over- ...
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33 views

Pre priming a network for white space

When a human looks at a page. He notices the sets of letters are grouped together separated by white space. If the white space was replaced by another character say z, it would be harder to ...
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60 views

Reinforcement learning for segmenting the robot path to reflect the true distances

I have a grid of rectangles acting as blocks. The robot traverses through the inter-spaces between these consecutive blocks. Now I have sensor data streaming in representing Right and left wheel ...
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3answers
520 views

How to create Partially Connected NNs with prespecified connections using Tensorflow?

I'd like to implement a partially connected neural network with ~3 to 4 hidden layers (a sparse deep neural network?) where I can specify which node connects to which node from the previous/next layer....
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20 views

How to handle Feature changes in a model deployed ?

I implemented and deployed with Flask an XGBoost model for a classification problem. But being aware that features importance can change over time to predict probability of label for new data, I ...
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96 views

Can semantic paraphrasing be used for a workflow management system?

The term paraphrasing is used for converting input text into output text with small modifications on the semantic level. Paraphrasing is used by managers to distribute work items to employees. It is a ...
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417 views

Why do we need Upsampling and Downsampling in Progressive Growing of Gans

I was working recently on Progressive Growing of GANs (aka PGGANs). I have implemented the whole architecture, but the problem that was ticking my mind is that in simple GANs, like DCGAN, PIX2PIX, we ...
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243 views

How does the target output of a Single Shot Detector (SSD) look like?

According to the paper SSD: Single Shot MultiBox Detector, for each cell in a feature map k boxes are acquired and for each box we get $c$ class scores and $4$ offsets relative to the original default ...
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45 views

How recurrent neural network work when predict many days?

I use recurrent neural network, RNNs have to get input one value per step and it will show one value output. If I have daily sale demand time series data. I want to predict sale demand for three ...
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44 views

Optimization step in Apprenticeship Learning via Inverse Reinforcement Learning

Why the optimization step of the algorithm a quadratic program? [See: Apprenticeship Learning via Inverse Reinforcement Learning; page 3] Isn't the objective function linear? Why don't we treat ...
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28 views

Difference in trained models between GCP's Google Vision and Firebase's ML kit?

Anyone here know if the image-recognition/text-recognition/etc features of Google Vision API use the same trained models as the image-recognition/text-recognition/etc of Firebase's ML kit? If they don'...
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47 views

Data to Google Machine Learning

I have a database with hundreds of questions and answers. Would you like to know how I can work on this data in Google Cloud? I have a social network where I have these questions and answers, and I ...
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74 views

How to implement AI/ML to classify various types of files

I am working on a task that requires me to classify a large amount of mixed files on a backup drive (more than 10 TB with more than 32 million files) based on content. The included file types are ...
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231 views

How To Improve This Sentiment Analysis Model

A.I Community, this is my first post on here I am currently reading, learning and designing models. At the moment I'm working on this sentiment analysis tool; from what I gather sentiment analysis can ...
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31 views

Atrous (Dilated) Convolution: How one can compute responses of arbitrarily high dimensions in DCNN?

According to this paper (page 4, bottom-right), atrous convolutions can be used to compute responses of arbitrarily large dimensions in Deep Convolutional Neural Networks. I do not understand how ...
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1answer
168 views

Why does the size reduce to $6 \times 6$ in the capsule networks?

I want to experiment with capsule networks on facial expression recognition (FER). For now, I am using fer2013 Kaggle dataset. One thing that I didn't understand in capsule networks was in the first ...
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43 views

Data Interpretation technique

In the model generation, in machine learning (consider supervised) If some data change the previous model function drastically then we should study that data. Does it happen? How to handle such ...
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60 views

Will commercialisation and widespread use of A.I in security and surveillance and other household products threaten free will or endanger privacy?

Everything from facial recognition to the google home is coming equiped with A.I and it is being widely used , If autonomously connected to the internet , will A.I pose a threat to privacy or will it ...
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33 views

How to factor time into decision trees?

Are decision trees able to be used with time-related data? I've read that decision trees are based on matrices and that ARRAYS of input matrices can be used to factor in time however I can't find an ...
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64 views

Simple website and attaching Data Analysis to user information for feedback

I am looking to learn Ai/Machine learning during my spare and need advice on tools used / What to read / How one can integrate machine learning with a simple website for user feedback Scenario: .Net ...
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21 views

Social network filtering for specific topic

I created and operate a social network for meeting new people. As a result of the recent FOSTA legislation, it’s imperative that I implement an automated system to prevent users from posting ...
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63 views

Learning from events. Supervised, Unsupervised or MDP?

I have a large set of simulation logs for a market simulation of which I want to learn from. The market includes: customers products (subscriptions) The customers choose products and then stick with ...
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24 views

Commercial API Q: is there an api for converting vision tags into a caption?

There are many machine learning api for scanning images but they just return a bunch of tags. https://azure.microsoft.com/en-gb/services/cognitive-services/computer-vision/ ...
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109 views

Learning algorithm that filters keyboard clicking in audio feeds

When recording audio for screencasts or similar, very often the keyboard is clearly visible and can start to annoy listeners after a while. NN are quiet good at recognizing patterns. Image ...
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43 views

How to calculate Adaptive gradient?

In the FaceNet paper there mentions an gradient algorithm called 'AdaGrad'(Adaptive Gradient) referenced to this paper which has apparently been used to calculate the gradient of the Triplet Loss ...
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260 views

Analogies and similarity

The more I think about machine learning the more I realize the importance of finding similarities by using analogies as a way of learning. If I want to categorize words into hierarchical tree this ...
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65 views

Prove that there might be an Agent function which cannot be implemented by any Agent program

So i really don't get this question because i always thought the agent program is the same as agent's function, but i read somewhere that this is statement might be true so is this statement actually ...
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267 views

Application of Ai to task scheduling problems on heterogenous platforms

Let's say we have a cluster of 20-2000 heterogenous compute nodes. Consider for example the parallel solution of the helmholtz equation: Now we want to distribute the solution process and, to make ...
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21 views

Can number of Leads be predicted based on previous months

I have a sample set of data about Leads that gets generated every day. Leads are nothing but a user expressing request to be our partner or not. Sample data set is as shown below ...
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258 views

Tensorflow: Can't overfit training data with batch size > 1

I coded a small RNN network with Tensorflow to return the total energy consumption given some parameters. There seem to be a problem in my code. It can't overfit the training data when I use a batch ...
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72 views

Algorithms that connect neurons to previous layers as well as next

Are there any algorithms, or any evidence to decide or to suggest it would be better to connect a neuron node in a layer l, in a neural network to particular nodes ...
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167 views

Natural language processing with a continuous dependent variable

I have a large number of observations. Each observation contains: dependent variable: a scores ranging from 0 - 100 independent variable: a large article I want to know which words or phrases ...
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53 views

Decision tree doesn't quite work, is there a better alternative?

I have a problem that I have been trying to use decision trees to solve. There is a data set of pricing information for products sold by a company. The goal is to infer the pricing algorithm for each ...
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59 views

Orientation of data set before training simple ANN's

Well, I am new to implementing ANN's and there is something that i want to know. It maybe a bit silly though. I just wanted to know that if we have a simple data set say dependent only on a single ...

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