Questions tagged [machine-learning]
Questions about computer algorithms that automatically discover patterns in data and make good decisions based on them.
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questions
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1answer
17 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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37 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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6 views
What is the difference between backtracking and forward checking / lookahead?
What is the difference between backtracking and forward checking / lookahead?
Can you please give me explanation and simple example in programming language C, NETLOGO...
I am trying to solve N-QUEENS ...
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20 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 ...
0
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1answer
15 views
Mapping categorical data in K-nearest neighbour
I have a data set which contains categorical data, for example:
...
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0answers
15 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
78 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
15 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
16 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
32 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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0answers
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
41 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
27 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 ...
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0answers
9 views
In Markov Decision Processes, why does R0 get skipped?
I'm in the process of learning the MDP, and a pretty small thing is bugging me. Everywhere I look, I see the order of things go in this order:
$S_{0}, A_{0}, R_{1}, S_{1}, A_{1}, R_{2}, \ldots, A_{t},...
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0answers
15 views
Interpretability of feature weights from Gaussian process classifier [closed]
Suppose I trained a Gaussian process classifier with a linear kernel (using GPML toolbox) and got some feature weights for each input feature.
My question is then:
Does it/When does it make sense ...
2
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1answer
27 views
Why do we need to take the derivative of the activation function in backwards propagation?
I was reading this article here: https://towardsdatascience.com/how-does-back-propagation-in-artificial-neural-networks-work-c7cad873ea7.
When he gets to the part where he calculates the loss at ...
0
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1answer
114 views
How can I represent a set of graphs for learning purposes?
I have a network of labelled digraphs and a I need to perform a unsupervised learning algorithm on this data.
I am interested in embedding a network of description logic documents in a vector space ...
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0answers
6 views
Linking data statistics to machine learning performance: available research
I got a general question:
Deploying machine learning algorithms that perform well in practice is often highly dependent on the dataset under investigation. This is formally known as ‘The No Free ...
0
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1answer
37 views
Classification accuracy based on top 3 most likely classifications
My goal is to recommend jobs to job seekers based on their skill set.
Currently I'm using an SVM for this, which is outputting one prediction, e.g. "software engineer at Microsoft". However, consider ...
1
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1answer
32 views
What are the basics of CS i should know,before I start my journey into machine learning
I am myself a non-cs graduate and would love to be a machine learning engineer.
I have learned to code and know the basics of <...
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0answers
19 views
How can I understand the multi-class version of “shattering” intuitively? [closed]
I'm learning machine learning. VC dimension is a good way to measure the complexity of hypothesis class for binary classifier and has a very good intuitive explanation from shattering.
When we ...
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0answers
21 views
Covering numbers to show that H is agnostically PAC-learnable
Suppose $X=[0,1]$ and $Y=[0,1]$, and we use the squared loss
Let's define the hypothesis class $H = {h(x) = (x-a)^2 : a \in [0,1]}$.
Question: How can covering numbers be used to show that this ...
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1answer
42 views
How do you prove the Natarajan's Lemma intuitively?
Let $H$ be a hypothesis class of multiclass predictors; namely, each $h\in H$ is a function from $X$ to $[k]$.
Denote the Natarajan dimension of $H$ by $Ndim(H)$. Hope you can give me an intuitive ...
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0answers
21 views
Parameter Adjustment based only on tagged predictions
not sure that this is the best place to post this but if not, please let me know if there is a better stack community.
I have an anomaly detection method which has some parameters. I have some data ...
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0answers
22 views
Use ML to create a graph
I'm currently looking for literature/papers on machine learning techniques to create structures.
In detail, I want to generate finite automata (NFA, DFA), which are useful for student-exercises. So I ...
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0answers
38 views
Did anyone successfully implemented Gödel machine? Is it practically possible to implement?
For reference - Gödel machine is a hypothetical self-improving computer program that solves problems. It uses a recursive self-improvement protocol in which it rewrites its own code when it can prove ...
1
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1answer
12 views
How to handle missing attribute's value with ID3 algorithm?
i am working with ID3 algorithm, and i know that classic ID3 basically can handle missing data. But i am trying to code this algorithm, so what should i do if there is missing attribute's value in ...
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0answers
14 views
Can one pose an optimization problem as a problem in machine learning?
There seems to be an increasing trend towards posing problems in the realms of classical optimization theory as machine learning problems.
Can you explain when one would resort to using machine ...
0
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1answer
22 views
How does image reconstruction take place in neural network?
I am reading through and thinking about how neural network works and have been reading about convolutional neural networks (CNN). I am particularly interested in image filtering (or enhancing) using ...
0
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1answer
10 views
Stepwise regression
I think that both forward selection and backward selection should give the same results if the evaluation model is deterministic and using the same variables gives the same results. Is this true? If ...
0
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0answers
32 views
Machine Learning on Unclassified Data
So I am currently thinking about a problem with a friend that deals with classifying a huge list of statements (I cannot give more information for privacy reasons). My friend ran a K-means clustering ...
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0answers
18 views
How can I store the bit pattern in the register with value
How can i write instruction in Main memory with using Machine language? I have a problem with righting instruction to store the bit pattern in the register R with value XY. Can anybody solve it?
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1answer
49 views
What are Surnames' dataset usages?
I have found a dataset which involves surnames dispersion around the world that sorted by population which I use it for a name recommender system.
Its readme page caught my attention because it has ...
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0answers
12 views
machine learning model for message classification
this is a question about building a model for text classifications. The problem is to classify messages on Reddit posts. We are given 70000 messages and their categories, and we need to build a model ...
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0answers
19 views
Survey of Graph Algorithms with applications to data/ML?
I'm a new Computer Science student in a masters program, switching from Applied Math. I'm really new and lacking some background, but I am interested on what literature is out there on graph ...
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0answers
20 views
What ML Algorithm can “coloquialize” stings of text?
I am looking to colloquialize short natural language strings and titles to more proper grammar, and do the same in reverse.
For example, I'd like to find an ML algorithm that, given the proper data ...
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0answers
7 views
Is there a way to connect a deep language model output to input?
In models like GPT-2, TXL and Grover, is there a good way to know which input weights (tokens) resulted in each token of the output?
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0answers
67 views
Four way competition for Machine Learning PhD admission. Which background increases the odds of getting in?
Let's say there are students from four backgrounds (Mathematics, Applied Mathematics, Computer Science and Statistics) all from top programs. They are applying to a machine learning PhD program at a ...
0
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1answer
33 views
support vector machine values
Does anybody knows how to calculate w1 and w2 and b .
I have the formula but I have no idea where those numbers come from .
my question has solution so it is not a home work because the solution of ...
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0answers
9 views
Deep Learning Technique for Image to Video Conversion
I'm trying to build an engine for the following task:
I have n videos, from which I've taken 1 snapshot each. I am trying to train a classification algorithm on these n snapshots. Till now I have ...
2
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0answers
10 views
Beam search in the context of Genetic Algorithm
As per Machine Learning, Tom M. Mitchell, Indian Edition, pp. 249-262, it is mentioned that "genetic algorithms employ a randomized beam search method to seek a maximally fit hypothesis".
I have ...
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41 views
Hypothesis Space for Machine Learning
I have the following question on a problem set:
Considering only linear combinations of monomials $x^k$ for
$k=0,...,K$, describe a good hypothesis space to approximate a
continuous function $f(...
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0answers
14 views
Hypothesis space in AdaBoost or general Machine learning
I was curious about the following: in most learning algorithms, when an algorithm is said to learn a concept class $C$ then the algorithm outputs a function from the hypothesis space $H$ and often ...
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0answers
16 views
Same Result of KNN and Decision Tree
Given a decision tree, is it possible to find a KNN classifier giving the exact same classification?
1
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1answer
31 views
Neural network for PDE: Should we train the PDE using more initial and boundary data at the beginning?
I was trying to solve a partial differential equation (PDE) using a neural network. The solution to the PDE is not unique unless the boundary condition is determined.
In my case, the neural network ...
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0answers
21 views
How can I express the similarity between a Bing and a Google search result?
I'm working on a "semantic" browser engine where all search engines should look the same. One way to do this is to hard-code parsing rules for each site; another is to use machine-learning. Of course ...
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35 views
On the growth rate of Leela Zero compared to AlphaGoZero
There are not many sources online, but one reference from January says of Leela Zero (LZ) that:
The strength depends on the hardware and on thinking time, but from
the thread "LeelaZero ...
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1answer
59 views
Computer Vision Techniques to find Slope of beach in the 2D Images?
What I am planning to do is to calculate the height and estimate the slope of the segmented Object. The camera will be static and the Object of Interest is the slope of the beach.
I am finding harder ...
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0answers
13 views
Text-to-speech with custom voice
I hope I do not get bashed for such a stupid question, but I'm trying to assess how far are we of a implementation of what I'm about to tell you.
To give a little context, I have this friend that is ...
