We’re rewarding the question askers & reputations are being recalculated! Read more.

Questions tagged [machine-learning]

Questions about computer algorithms that automatically discover patterns in data and make good decisions based on them.

Filter by
Sorted by
Tagged with
1
vote
1answer
10 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 ...
0
votes
0answers
12 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
votes
1answer
17 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
votes
1answer
9 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
votes
0answers
17 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 ...
0
votes
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?
2
votes
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 ...
0
votes
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 ...
0
votes
0answers
16 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 ...
1
vote
0answers
19 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 ...
1
vote
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?
1
vote
0answers
61 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 ...
-2
votes
0answers
12 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
-3
votes
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
votes
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 ...
0
votes
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
votes
0answers
6 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 ...
0
votes
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(...
1
vote
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 ...
0
votes
0answers
15 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
vote
1answer
26 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 ...
0
votes
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 ...
0
votes
0answers
19 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
votes
1answer
44 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 ...
0
votes
0answers
12 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
21 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 ...
0
votes
2answers
39 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
vote
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
votes
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
votes
0answers
22 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
votes
0answers
25 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
vote
1answer
47 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 ...
0
votes
0answers
19 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 ...
0
votes
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.
0
votes
0answers
21 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 ...
0
votes
0answers
23 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
36 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
votes
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
28 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
votes
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" ...
0
votes
0answers
28 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 ...
0
votes
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 ...
0
votes
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. ...
0
votes
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 ...
1
vote
0answers
20 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 ...
0
votes
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. ...
0
votes
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....
1
vote
0answers
37 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
vote
1answer
32 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,...
0
votes
0answers
9 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 ...