Questions tagged [machine-learning]
Questions about computer algorithms that automatically discover patterns in data and make good decisions based on them.
993
questions
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6 views
FOIL system for learning PROLOG rules from facts
I'm trying to use FOIL, a system from the 1990s developed by Ross Quinlan, to learn Prolog rules from facts. However, the input file syntax is tricky for me. Could someone provide me an example input ...
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0answers
5 views
Sneeze and Cough detection using OpenCV
I googled lot about sneeze and cough detection using opencv but didnt get any useful resources. My main objective is to detect a person who sneezes or coughs with a live running camera along with ...
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1answer
14 views
Uniform Convergence and VC Theroy
I've started reading more about statistical learning theory, specifically this paper right here and I cannot understand the following part:
It turns out the conditions required to render empirical ...
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0answers
8 views
Why do we need to change the (weight decay) regularization parameter when changing the number of inputs that neural network is being trained with?
I am currently working my way through Michael Nielsen's ebook Neural Networks and Deep Learning and I am reading about overfitting and (L2) regularization. In this subsection, the process of L2 (a.k.a ...
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13 views
How to get synonyms from definitions using Bayes algorithm
I work on a project: an online dictionary where the user can find definitions of a word he's looking for.
My supervisor asked us to add synonyms using machine learning. He recommend us to use Bayes ...
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0answers
10 views
How to access a real time data from a website [closed]
I am creating a corono model from machine learning , that works properly when I passed a data sets , but I want to create like , that takes real time data from a website and put their output. So ...
2
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0answers
13 views
Fully-connected feed-forward Neural Network
I'm working on a practice exam for my machine learning quiz; however, this practice exam does not have any solutions. While I can usually tell if my answers are right or wrong by comparing to my peers,...
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0answers
12 views
Open Source implementation of Cognitive Search? [closed]
I would like to know if there is any open source implementation of a ML based Search Engine for example Microsoft Cognitive Search.
Microsoft Cognitive Search is platform as a services which works on ...
2
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0answers
18 views
Simple back propagation example
Sorry if this is too simplistic of a question, but over the last couple of months I have been working through the course mathematical foundations of machine learning at my college. I think I am really ...
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0answers
22 views
Backprop formula question
I'm reading this chapter https://www.deeplearningbook.org/contents/mlp.html of the Deep Learning book, and on page 209, they have this equation (assume there is no regularizer and no bias parameter):
$...
1
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1answer
19 views
Proof of uniform convergence if VC dimension is finite
In the book »Understanding Machine Learning: From Theory to Algorithms«, written by Ben-David and Shalev-Shwartz, there is a proof which I do not understand. The context is proving that if a ...
1
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1answer
17 views
Learning a specific functional form with machine learning
Suppose I have only three independent features (x, y, z) as the input to some machine learning routine (e.g. neural network). From some domain knowledge, I know ...
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17 views
proof that SimpLe is fully expresive
Refering to this paper "SimplE Embedding for Link Prediction in Knowledge Graphs"
by Seyed Mehran Kazemi and David Poole in 2018 :
In page 4, about the proof of SimpLE being fully expressive,
I ...
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0answers
11 views
Equation to find the collaboration between neighbors in SOM in unsupervised learning
In Kohonen's SOM algorithm, the equation to find the collaboration is:
$$
\mathit{Damp}(i,j) = \exp\left(-\frac{\mathit{LDist}(i,j)^2}{2\sigma^2}\right)
$$
I know that LDist is the lattice distance ...
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0answers
8 views
training SimpLE model for link prediction on knowledge graph
Referring to this paper by Prof Kazemi, Prof Poole on SimpLE model for link prediction on knowledge graph.
In page 3, the paragraph on learning SimpLE Models, I understand that we have a batch of ...
1
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1answer
15 views
Time efficient way to implement Multi-Armed-Bandits?
I'm doing a research on Multi-Armed Bandit (MAB) problem with approx. 1 million arms. In contrast, the number of iterations is of course much larger, about 10-20 million.
Most MAB-algorithms require ...
0
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1answer
32 views
Is Artificial intelligence simply taking decisions on the basis of values produced by a machine learning model
I am researching on AI and its working. Whenever I try to search for AI algorithms, ML algorithms come up. Then, I read the differences between ML & AI. One of the key points mentioned was "AI is ...
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15 views
Updating weights[i, j] for a neural network
So I'm working on a Python program for a neural network for learning purposes. Rather than using matrix operations to update my weights for the neural network I'm designing I'd like to update each ...
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0answers
29 views
how many parameters do we need to estimate for a general probabilistic model
Its a question from a test in machine learning.
I have 3 binary variables x1,x2 and x3 (which means that each one of them can be either 1 or 0), each one of them has a binary output y (can be 0 or 1).
...
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0answers
21 views
Artificial Neuron: question on definition and inhibited signals
This is an artificial neuron of a NOT function from Rojas's ML book. I have a question on it's behavior. It's my understanding that the neuron produces a signal if it's inputs $x_1$ summed are $\geq ...
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1answer
37 views
Approximating Deep Neural Networks (DNNs) with Binarized Neural Networks (BNNs)
I am working currently as a research intern on Binarized Neural Networks where the weights and the activations of the network are binary. The architecture of this type of networks makes them memory ...
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0answers
43 views
Calculate probability in graphical model
I have the following graphical model, in which I wish to compute $p(Intelligence = 1|Letter = 1, SAT = 1)$
But I'm not sure how to rewrite $p(Intelligence = 1|Letter = 1, SAT = 1)$? I was told to ...
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0answers
31 views
How machine learning libraries are created?
I would like to know how machine learning libraries (or in general libraries at large scale) are created. I mean Python doesn't have inbuilt array system but c has. So how they are supported for ...
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0answers
21 views
Is it possible to create an age estimation by face program using deeplearning with my laptop?
My computer specs:
Processor type Intel(R) Core(TM) i7-8550U CPU @1.80GHz 1.99GHz
Installed RAM 8.00 GB
System Type 64 bit operating system
i also have Intel UHD graphics 620.
I am starting an ...
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0answers
15 views
Decision tree selection by error rate (What does this mean?)
I am asked to select a attribute based on it's error rate
Could someone please explain me this?
Let's say I have this data for example reasons
For a attribut
3 Yes that classifies as +
1 Yes ...
2
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2answers
91 views
Being stuck and frustrated with my masters project
I'm doing a masters in CS that requires me to implement from scratch most of the neural network models and because python libraries aren't applicable to what i want.
The problem is that i don't feel ...
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0answers
14 views
Clustering customer with string data
I'm looking for a customer clustering solution. I have done a lot of research on the machine learning level to find algorithms that could fit my needs but I can't find much information when the data ...
1
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1answer
37 views
Asymptotic analysis for machine learning algorithms
I wanted to know if it would practical and useful to analyse machine learning algorithms in terms of asymptotic computational complexity.
I have noticed this is very uncommon. However, I believe it ...
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0answers
14 views
Weights vs Training ML
The weights of Machine Learning models are learned during the training process. Why is said that the higher values of weights leads to the overfitting of the model? Why is it necessary to have low ...
2
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1answer
38 views
Energy consumption off CNN models
I want to calculate/estimate the energy consumption for the different convolutional neural networks. Is there any possibility to measure the energy consumed by AlexNet for example with a tool or with ...
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0answers
20 views
Why does my EM algorithm not converge?
Any ideas why my likelihood probability for this EM algorithm doesn't converge (have slope of 0) to "find" the three clusters? I've tried increasing the iterations, which makes the slope nearly ...
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0answers
15 views
Which machine learning should I choose for a one->list relation
I'm trying to write machine learning software that will predict a list of 3 values from a given number input (reverse grayscale). There is a function determining values of the list to the grayscale, ...
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1answer
155 views
Measures of performance in machine learning
I'm new to machine learning and struggle to interpret the results I get from different measures of performance. If for several prediction models I have e.g. accuracy, precision, recall, F1, FPR, and ...
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1answer
39 views
What kind of bigram probability smoothing is this?
I hope it isn't off topic but I need to understand this example. Given the corpus 12 1 13 12 15 234 2526 and smoothing factor of ...
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1answer
18 views
Confused on Variational AutoEncoder
I'm a bit confused on how Variational Autoencoders are trained. In particular I'm confused on how the latent variable is generated for each input.
My questions are as follows:
When running ...
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0answers
11 views
Relationship between keystroke pattern and emotion
There are API provided by Google and Microsoft that takes as input the image of a person and output a probability distribution of the person's mood. I'm wondering if there an API that can take as ...
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0answers
15 views
What is the main concept of using lexical,linguistic, semantic or syntactic approach in NLP for cyberbullying
Am really in need of some explanation, am working on a nlp cyberbullying detection tool which i will deploy to the web using django framework, however, am stuck on some idea, can someone explain to me....
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1answer
21 views
Using a point as an input for a perceptron
Can a point be used as the input for a perceptron/neural net?
The relationship between the two numbers that make up a 2D point does not affect the output, but does this not matter when the ...
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0answers
39 views
Can anyone think of applications of a 3 way (k-way) dot product in computer science or data mining
I have developed a locality sensitive hashing algorithm for the 3-way or k-way dot product. When I say 3-way dot product I mean the following. Suppose we have
$x,y,z \in [-1,1]^{S}$ for $S \in \...
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21 views
Image classification with zero data
Given an image of a biology diagram, I would like to classify the diagram into these 4 categories:
Plant
Animal
Cell
Anatomy
However, I don't have any training data. I would like to avoid the ...
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1answer
18 views
Mapping categorical data in K-nearest neighbour
I have a data set which contains categorical data, for example:
...
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0answers
17 views
Propositional setting VS relational setting
I came across "propositional setting" and "relational setting" in this paper.
I don't know what the author means.
What's the difference between "propositional setting" and "relational setting" in ...
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0answers
85 views
vc dimension of binary decision trees of depth d?
how do i find the vc dimension of the hypothesis space H ,of the binary decision trees of depth d-2?
will the hypothesis space H consist of{0,1} and the vc dimension is the number of ways in which we ...
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0answers
11 views
How to set width and depth of an attractor in hopfield network?
As far as I know hopfield network stores patterns as it's attractor states. But the width and depth of basins of attraction is not determined by user. Is it possible to make hopfield network to set ...
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0answers
17 views
Training a model from self-play
Say I'd like to build a Go AI. The Go AI takes in the board state and then predicts who's more likely to win from that state. When I want to make a move, I just test every next board state I could ...
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0answers
23 views
Using The Output Of Semantic Segmentation In Autonomous Driving
I have read a couple of papers on semantic segmentation and ran this github code (which was trained on Cityscapes) against a KITTI sample image and it did pretty well (as seen below).
I get that ...
1
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1answer
38 views
Text detection in computer vision
I'm curious about the way text recognition works in machine learning(or more generally, the question of object vs not object) in computer vision.
How are systems trained when the not-object data set ...
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14 views
Path planning agent in a grid with compulsory states to visit with Reinforcement Learning
Is it possible to make a Reinforcement Learning agent for path planning in a 2D grid where visiting certain intermediate states is mandatory?
Please give an insight if it is indeed possible as to ...
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2answers
50 views
Interpolation: How to generate 3D objects from 2D cross-sections?
Consider a sphere sitting on an $xy$-plane, and take 2D slices parallel to the $xy$-plane at various heights of z. Suppose we take 10 slices, evenly spaced along the $z$-axis, and now have 10 images ...
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0answers
28 views
How to use machine learning algorithm for different input data? [closed]
Yes, You heard it right. My title is "How to use a machine learning algorithm for different input data?",
For example, we have an algorithm called "Email spams detector". Okay, so how to apply the ...
