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Questions tagged [machine-learning]

Methods and principles of building "computer systems that automatically improve with experience."

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why vc-dim of the range space (R^m, {lines in R^m}) is 2? [migrated]

I need to prove that for any positive integer m ∈ N the range space (X , Y) where X = R^m, and Y consists of lines in R^m has VC dimension 2. but I know that the VC dimension of such range space are ...
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How to choose best model checkpoint when training deep learning model on all the data?

When training a final model for production, it's often recommended to train on all available data (train + dev + test), as discussed here. I'm training a deep learning model. I typically save and use ...
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My naive (ha!) Gaussian Naive Bayes classifier is too slow

I am trying to build a film review classifier where I determine if a given review is positive or negative (w/ Python). I'm trying to avoid any other ML libraries so that I can better understand the ...
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17 views

The Question is about Deep Learning how to skip intro in movies

I want to skip the introduction and post credit scenes (such as..,Namecard scenes )in movies using deep learning.How do do it by using Tensorflow object detection api. Is it possible to do that using ...
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30 views

Sliding cross-correlation [closed]

I want to understand Timeseries shape similarity algorithm ( Shape-based distance aka SBD). I can't understand the statistics behind it and why it is better than DTW or other similarity measure. I'm ...
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1answer
33 views

Cross validation for highly imbalanced data with undersampling

In my problem, I am dealing with a highly imbalanced data set, say for every positive class there are 10000 negative one. A normal starting method to train a model is to undersample the data. In this ...
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9 views

Extract weight matrix of Convolutional Neural Network in MATLAB

I try to train Convolutional Neural Network via MATLAB and want to know the weight matrix and bias vector in each layer. The network works well but when I type "layer(2).Weights" it returns "[ ]". ...
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1answer
12 views

What is difference between leave one subject out and leave one out cross validation

What is the difference between leave one subject out cv and leave one out cross validation (loocv)? are they same or different?. I have images of 24 subject and according to literature, leave one ...
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ValueError: Error when checking target: expected dense_3 to have shape (None, 1) but got array with shape (7715, 40000)

I'm trying to train a Keras model with Google Cloud's ML Engine. (Keras version is 2.2.4 and TensorFlow version is 1.12.0) This exact code runs fine on my CPU but when I submit the job to cloud, ...
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8 views

Is it possible to rank feature importance after training a recommender system?

I need to train a recommender system on some movie recommendation data. The thing is, I wanted to use a random forest for the model, since I know you can print a feature hierarchy, after training. I'...
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Nomenclature for known individuals vs possibly same individuals

What is the standard machine learning term for these two concepts? An "known" individual, from an essentially static collection of individuals A "query" individual, which may "match" 0-n of the known ...
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2answers
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Time of trainig vs time of prediction, which one is used during classification algorithms comparison?

I need to use many algorithms for making a binary classification, such as Logistic regression, SVM, XGBoost, CatBoost, ... I get an interesting improvement but All of those algorithms (except LR) take ...
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Any studies or implementation in whatever tools to impute motion images (timed sequence of images)

I have a sequence of satellite images on top of the same geo-location, tracking cloud coverage normally arriving every 15 minutes, along one year, sometimes, there are missings of different lengths. ...
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1answer
15 views

Predicting of the function values

There is a function: $f(t,x,y,z)$, where $t$- time, $x,y,z$- some arguments. The values of $f$ for $t\in [a,b]$ are known (100 samples). What is the most accurate way of predicting the value of $f$ ...
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Time Series prediction for uneven data with some data provided

I am facing an issue with a time series prediction problem. My data looks like the following: Datetime , Feature 1, Feature 2, Feature 3, Feature 4 19-03-2015 02:15 ,80 ,50 ,16 ...
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Why are neuron activations stored as a column vector?

In all literature related to basic feedforward neural networks that I have read, I have seen neuron activations being stored as a column vector as we forward propagate through the network. Storing ...
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1answer
17 views

ML technique to predict next year output based on text quantities [closed]

I have a random data that I would like to predict how much a quantity will be in 2020. The data looks like this: ...
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70 views

Can we think of neurons as maps between matrices?

Usually when we think about neurons, we imagine that they enact some kind of map between real numbers. For example, a neuron might take in real numbers $x_{i}$ and weight them with parameters $W_{ij}$,...
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Improve model performance on unseen data

NOTE: This question was first posted on a different SO forum but I received suggestions to move it here This is a follow-up question to a question I had previously posted on this forum We conducted ...
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1answer
20 views

Adaboost - Show that adjusting weights brings error of current iteration to 0.5

I'm trying to solve the following problem but I've gotten sort of stuck. So for adaboost, $err_t = \frac{\sum_{i=1}^{N}w_i \Pi (h_t(x^{(i)}) \neq t^{(i)})}{\sum_{i=1}^{N}w_i}$ and $\alpha_t = \frac{...
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9 views

Qualitative prediction based off data containing mixed qualitative and quantitative values? [closed]

I'm trying to find a way to predict an integer value based off of an item's prior sale history and am inquiring for a starting point on how to approach this. The factors are as follows (Data Type in ...
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17 views

Identify specify areas in the text

I'd be interested in identifying various areas in the text message. Let's say I have a text containing some introduction, then there is a poem and at the end there are some urls to some web pages. I'...
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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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3answers
24 views

Can ROC/AUC help model training or just be used for model chosing?

if can be used to help for training?how?
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34 views

Numpy Python deep learning framework

Does there exist a deep learning framework that is implemented only in Python and Numpy and supports 2D convolution, concatenation, ReLU activation function, max pooling, and global average pooling? ...
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1answer
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What is the most appropriate machine learning approach for this scenario?

The scenario is pretty simple, and I'm sure it's been done a million times. The problem is i don't know the terminology to find the correct resources on the web. Scenario: I have an environment that ...
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1answer
29 views

Can RNN work with just one input?

We have a time series data.Is it possible to create a RNN such that there is only dimenson(or feature) in data(as shown in fig1).If yes,will it identify the pattern in time series data correctly? The ...
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Activity Classification using accelerometer data?

With general machine learning classification algorithm we can easily classify the activity a human is doing by training accelerometer data. Will it be possible to find the quality of his activity. [...
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2answers
46 views

how to work with a large dataset in python?

for a training purposes, in order to start machine learning and data analysis with python I work on a pretty small dataset (20000 rows, 600MB) .But since couple days I decided to go further so I have ...
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What information should be cached in experience replay for actor-critic? [migrated]

In experience replay, we save a buffer of transactions $e_t$: $e_t = (s_t,a_t,r_t,s_{t+1})$ The equations for calculating the loss in actor critic are: Actor_Loss (parameterized by $\theta$): $...
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1answer
28 views

How reliable are model performance reportings?

I had a conceptual doubt about estimating and reporting a classification model's performance. Say my model works with range of depth values and gives out different readings of test errors. We choose ...
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8 views

How do you feed a VAE input layer a complex dataset form - an array with multiple sub-arrays?

I am currently trying to to pipe data into a simple VAE using Tensorflow but have encountered an issue. All the literature on VAEs are for images where tensors are typically squashed into 1D. The ...
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4answers
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What are the common properties of all machine learning algorithms?

The definitions of machine learning I was able to find are very vague. What are the common properties of all machine learning algorithms? For example, keyword extraction algorithm (that use only ...
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1answer
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Fuzzy Clustering for Categorical Data

I have a dataset in which each feature is either 0 or 1 (like BBOW). I want to cluster the data such that one point can belong to more than one cluster(soft assignment). I searched about this and I ...
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1answer
30 views

Face Recognition (Scalability Issue)

Background I would like to build a face recognition model for registration and login for some kind of service. For example, using this approach (CNN + SVM). When a new user wants to register a ...
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1answer
34 views

CV (Curriculum Vitae) Recommender System using Machine Learning, Python, Apache Solr(Back-end), AngularJS (Front-end) [closed]

I am very new to Machine Learning. This is my college project. I want to develop web application of CV RECOMMENDER SYSTEM in Python. I have lots of CVs in the format of ...
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training set - machine learning unequal number of pictures, image size

What happens if you have 200 images for one label and 100 images for the other label when you train using tensorflow/inception. Should I make them equal for each label? Does image size also matter?
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1answer
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How are weights calculated in a feed-forward neural network before they are summed up with bias?

I have read a lot of papers and watched different videos, it seems like they explain how they are summed up with bias before entering the activation function. What I am trying to understand is the ...
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Finding features vector to distinguish different shapes in a plane

I have a set of points in a plane where is each set correspond to a particular geometric shape. I need to find a feature vector which can be used to distinguish these shapes. The shapes in the plane ...
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Business Specific Dataset for Business News Classification [migrated]

I need a multi-label training business news dataset that has rather detailed categories on what the news article is about. For example, in an article about BMW publishing their annual report, I'd ...
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0answers
6 views

Pandas keyError : ('%s not in index' % objarr[mask]) [migrated]

I am a beginner in the field of Machine Learning. I have started with the below code: ...
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1answer
22 views

What is the best way to predict multiple outcome from a single entity?

Let's say i have three model: Facial recognition, Face landmark detection, Emotion recognition. Now if i want to predict those three feature from a single image. What should be my approach? Should i ...
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5 views

Q learning transition matrix trouble

First, apologies if this isn't the right forum for my question -- let me know if there's a better place. I'm trying to implement Q learning on a two-dimensional grid world, where the agent has four ...
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1answer
26 views

Find all potential similar documents out of a list of documents using clustering [closed]

I'm working with the quora question pairs csv file which I loaded into a pd dataframe and isolated the qid and question so my questions are in this form : ...
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0answers
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How to methodologically show that a given 'time-series/sequential' data is not really sequential?

I have an apparent time-series/sequencial (supervised: multi-class classification problem) dataset with each data-point time-stamped. However, some domain intuition tells me that the data is static ...
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17 views

Q-Learning where some actions are more difficult to predict than others

I'm trying to train a deep Q network to optimize play in a game. For simplicity, let's say my game only has two actions, A and B. The reward distribution for A is somewhat uniform in the range -1 to ...
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3answers
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Scalability Deep Learning vs Traditional ML

I am currently doing a course in coursera in which Andrew Ng draws the following image: Does anybody know any references/reasoning that justify the drawn graph? Were any experiments conducted to ...
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YOLO: how are outputs generated and how are feature maps used?

I've been looking into YOLO algorithm and couldn't understand how the final output is made. It seems that training YOLO requires the following information: Grids that are divided into a size of S x ...