Questions tagged [machine-learning]
Questions about computer algorithms that automatically discover patterns in data and make good decisions based on them.
931
questions
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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
10 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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18 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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4 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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1answer
51 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 ...
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0answers
11 views
PAC but not agnostic PAC learner
Give an example of some domain X, a class H over X and a
learner A, that is a PAC learner for H but not an agnostic PAC learner for H.
Need help with this question. No clue of where to begin
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0answers
21 views
Proving learning algorithm A is better than B
Prove that for every learning algorithm A there exists a
probability distribution, P, and a learning algorithm B such that A is not
better than B w.r.t. P
How do i prove this?
0
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1answer
31 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
5 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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0answers
39 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
13 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
14 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?
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1answer
19 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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0answers
15 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 ...
0
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1answer
43 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
11 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 ...
2
votes
1answer
20 views
Neural network game players and incremental updates
Neural networks in recent years have been successfully used for gameplaying. A difference between games and e.g. image processing is that the game boards get updated incrementally. Do any neural ...
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2answers
34 views
Why does a RNN network output different based on the training sequence
I've set up an RNN LSTM network in Java using DL4J as the library.
I currently have 500 examples of positive text, and 500 examples of negative text.
When I fitness the training data by first ...
1
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0answers
29 views
Best way to learn Machine Learning after having done a Computer Science Bachelor [closed]
I just graduated from my university with a Computer Science Bachelor.
Because of this, I have good Python knowledge, coded a reinforcement learning AI, did machine learning ABCs with Iris flower ...
0
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0answers
28 views
Computational power of machine learning
In a nut shell, machine learning is a class of algorithms that can "train" data-structures.
You provide a trainer with partial information, and it will produce some entity which can
be queried on ...
2
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0answers
21 views
The No-Free-Lunch Theorem and K-NN consistency
In computational learning, The NFL theorem states that there is no universal learner. For every learning algorithm , there is a distribution that causes the learner to output a hypotesis with a large ...
2
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0answers
24 views
What is the purpose of standardization in machine learning?
I'm just getting started with learning about K-nearest neighbor and am having a hard time understanding why standardization is required. Reading through, I came across a section saying
When ...
1
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1answer
45 views
Are chatbots a good example of overfitting?
In my highschool class we are learning about Artificial Intelligence, and especially the problems that come with machine learning. I was wondering if chatbots like cleverbot were good examples of ...
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0answers
16 views
How to transform an arbitrary graph into a fixed vector representation?
Actuality I work in computer vision, specifically on a problem known as "scene graph modeling." This problem aims to convert an image $I$ in a graph $G=(V,E)$ where the nodes $V$ represent the objects ...
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1answer
21 views
How to initialize the first h in an RNN?
Take a Vanilla RNN represented by the function $h_t = f(h_{t-1}, x_t)$, how do you determine $h_0$?
Edit: This answer over on the stats page has helped.
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0answers
18 views
Learning the weights in a directed acyclic graph
I have a directed acyclic graph $G=(V,E)$ where each vertex $v$ is associated with a weight $w_v$ such that $$w_v=1+\sum\limits_{(v,v')\in E} w_{v'}$$ and $w_v=1$ in case $v$ is a leaf.
I am trying ...
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0answers
22 views
What is the difference between derivative free optimization and derivative optimization in terms of advantages/disadvantages?
I understand the basic operation of the algorithms however i'm unclear as to when to use one over the other and what advantages/disadvantages they offer over each other.
Also as an aside, if anyone ...
1
vote
1answer
35 views
How to create a model which predicts the radius of a circle? [closed]
My training set is made up of 2d images with one imperfect but broadly circular shape in them (plus plenty of noise). I wish to train a model to predict the "radius" (obviously it's a somewhat ...
0
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0answers
12 views
Clustering - Complete Linkage draw example
I'm studying unsupervised learning methods (clustering) and i've seen the Complete Linkage Method. I've also seen the following statement:
Unlike single linkage, the complete linkage method can be ...
1
vote
1answer
27 views
Recover boolean vector from dot products
Question:
I want to determine a boolean vector $b \in \{0,1\}^n$ consisting of zeros and ones, but cannot access it directly. I can only call a black-box computer code which will take the dot product ...
0
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0answers
15 views
Does the weighted max cut problem have applications to machine learning? If so, what are they?
At first, I thought the weighted max cut problem (WMCP) could be of use to binary classifiers, but since the standard WMCP doesn't have any "node groups must be on opposite side of a straight line" ...
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0answers
19 views
CNN Predicting One Class and Accuracy Getting Stuck
My model is a binary classifier.
With the same exact architecture, the model sometimes gets high accuracy (90% etc), other times it predicts only one class (so accuracy is stuck at one number the ...
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0answers
11 views
Model suggestion for detection of malware based on multiple api call sequences
I'm trying to build a RNN (LSTM) model for classification of binary as benign/malware. The data structure I've presently looks as follows
...
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2answers
54 views
What is the official name of a specific type of combination algorithm
Say that I have the following set of variables:
[A,B,C,D,E,F,G,H,I,J,K,L,M,N,O,P,Q,R,S,T,U,V,W,X,Y,Z]
The values represent a list of variables from a dataset. ...
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0answers
23 views
Can Hidden Markov Models be used for real-time analysis?
From what I understand, HMMs construct a underlying sequence of states to maximize the probability of a sequence of observations. As far as I can tell, that should make them inappropriate to use ...
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0answers
18 views
Value flow (and economics) in stacked reinforcement learning systems: agent as reinforcement environment for other agents?
There is evolving notion of stacked reinforcement learning systems, e.g. https://www.ijcai.org/proceedings/2018/0103.pdf - where one RL systems executes actions of the second RL system and it itself ...
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0answers
9 views
How would you generate files with several different rules?
Okay, the title is kind of cryptic because I'm lacking terminology (part of the problem).
Situation
Let's say you want to generate data corresponding to one specific, standardized paper document. ...
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0answers
7 views
Query about an equation in GAN-NMT paper
So i was studing the paper Adversarial Neural Machine Translation by Lijun Wu1, Yingce Xia2, Li Zhao3, Fei Tian3, Tao Qin3, Jianhuang Lai1,4 and Tie-Yan Liu.
The link to the paper is : https://arxiv....
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0answers
35 views
How is knowledge of lambda calculus applicable in Computer Science and Machine Learning? [closed]
If I want to do research in computer science and machine learning, is it important to have a well-rounded understanding of lambda calculus?
1
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1answer
30 views
True Error of a binary classifier
For a given classifier h, How is the true error over a distribution D defined?
\begin{align*}
L_D(h) &= \sideset{\mathbb{E}}{}{}_{x,y \sim D} \Pr[h(x) \neq y] \\ &=
\sideset{\mathbb{E}}{}{}_{x,...
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0answers
8 views
Optimising matketing budget on marketing and sales data
I have a dataset from business where the variables include investment across diferent channels and independent variable is the sales.
I have developed a marketing mix model using linear regression to ...
0
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0answers
15 views
Understanding Multi-headed attention
Recently I came across the concepts like Attention and Transformer architecture. After studying the papers and many blogs, I understood the concepts, but recently one doubt is coming in my mind and ...
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0answers
29 views
Which computational framework lies behind the Chinese “Social Credit System”?
BACKGROUND
The Social Credit System is a data-driven reputation system which draws on several sources to label various entities, namely businesses and individual citizens, with a trustworthiness ...
0
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0answers
5 views
How do I input (magnitude of) numerical data in CNN/U-net like architectures?
I've been given some (latitudes,longitudes) points with cellular signal strength(float numbers) on those particular points. And I've been given the location, (lat,longs) of cellular towers in a ...
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0answers
36 views
Agnostic PAC learnable hypothesis class for binary classification
I'm trying to prove that any agnostic PAC learnable class $\mathcal{H}$ of binary classifiers is PAC learnable (with respect to the 0-1 loss function), which means that for any density distribution $\...
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0answers
15 views
Is it useful to transform a regression problem into a classification one?
First, I would like to say that I understand the difference between a classification problem and a regression one.
Let's imagine that I'm trying to predict the time of a sprinter to run 100 meters ...
2
votes
1answer
25 views
Learning Specific Topics In Machine Learning [closed]
I am a beginner in machine learning and I already have a good linear algebra/calculus background.
I am interested in being able to eventually understand and implement convolutional neural networks, ...
1
vote
1answer
55 views
Search vs planning in artificial intelligence
I'm studying artificial intelligence following the Russell & Norvig book.
We did a search and planning part that for me is the same (at least on the representation).
I'd like to know what is the ...
