Questions tagged [classification]
The classification tag has no usage guidance.
135
questions
1
vote
1answer
13 views
LSTM : What should I do if I am always getting an output too close to one value?
I am training a model for ham and spam classification using LSTM. I am indicating the spams as 0, and the hams as 1. However, the dataset has much more hams than spams, so I tend to get an output very ...
0
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0answers
12 views
How Can We Classify Summit Supercomputer in Terms Of Topology
Summit supercomputer has Processor: IBM POWER9 22C 3.07GHz Interconnect: Dual-rail Mellanox EDR Infiniband. So how can we classify in terms of topology? How can I find resources about this subject?
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17 views
Classification of the Summit supercomputer
Can we classify a supercomputer in more than one group? For example, Flynn's classification, classification according to topology, classification according to memory access.
For the Summit ...
0
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0answers
14 views
What are Volterra classifiers
I want to learn about Volterra classifiers in-depth to understand the following papers
Papers
https://openaccess.thecvf.com/content_cvpr_2014/papers/Kang_Convolutional_Neural_Networks_2014_CVPR_paper....
0
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2answers
21 views
ML Algorithm for getting top pick in each sample
I have a dataset of streets - and each street contains several houses.
...
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43 views
Tool for illustrating the relation and hierarchy of different terms and phrases
Is there some tool which illustrates the relation and hierarchy of different terms and phrases?
Example: What is the hierarchy of "Natural Language Processing" and "Text Analytics"?...
2
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1answer
37 views
Bible Verse division
I'm working on a project compiling various versions of the Bible into a dataset. For the most part versions separate verses discreetly. In some versions, however, verses are combined. Instead of verse ...
0
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0answers
21 views
Support Vectors SVM
I have read somewhere that the value of slack variables of support vectors is not 0. Does that mean the points lying in the wrong region e.g a positive point lying in the negative region will also be ...
0
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0answers
29 views
Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning
I'm trying to figure out Fayyad and Irani (1993) MDLP discretization of continuous variables (here is link to the original paper).
I understand how algorithm works, but I have some doubts about first ...
0
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1answer
31 views
classify location of the expiry date on drug label and lot number
Is it possible that using the Machine Learning classification model we can classify/predict the LOCATION/ORIENTATION of the lot number and expiration date on different vials label?
If yes, possible ...
1
vote
2answers
85 views
How can Machine Learning be used to find attributes/characteristics of graphs?
I am aware ML is not necessary for many graph classification problems (as the graph theorists have many clever solutions), but I'm specifically interested in ML approaches to these types of questions. ...
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0answers
24 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
37 views
Mapping categorical data in K-nearest neighbour
I have a data set which contains categorical data, for example:
...
4
votes
1answer
65 views
Classifying partially labeled data
I have 1D data for binary classification. Data includes about 10000 samples and each sample has the length of 120. Data is only partially labeled (for about 20% of samples, I am sure about the label) ...
0
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1answer
45 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
vote
0answers
15 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
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1answer
38 views
Examples of Regular, Context-free and Context-sensitive languages
Assume the languages:
$$
a) \, L_1 = \{ w \in \{b,c \}^* | \, w \, \text{contains 'bbc' as substring} \}
$$
$$
b)\, L_2 = \{ 1^k 0^m 1^m | k,m \in \mathbb{N} \}
$$
$$
c)\,L_3 = \{ w \in {0,1}^* | \,...
1
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0answers
25 views
Algorithm for out-of-area point classification
I have a device that sends its coordinates every 30 seconds. When I receive the coordinates, I classify the point as either belonging to (ie being inside) one of a number of predefined areas (so I ...
2
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0answers
28 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 ...
0
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1answer
40 views
Dimension Reduction - Which feature should remove to reduce the dimension of the matrix
Let's suppose that we have the following 2 tables:
If we want to reduce the dimension by one(in every table) which feature we should remove and why ?
I am confused about the way that i should work ...
0
votes
1answer
33 views
SVM with a priori information about class probabilities
Given are two 2-d sets, each with its own bivariate normal distribution. I need to build an SVM classifier. The a priori probabilities of each class corresponds to the size of its set (20/50 for the ...
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0answers
429 views
Random Forest - Conditional Permutation Importance
I've been looking for the most unbiased algorithm to find out the feature importances in random forests if there are correlations among the input features.
Besides the most commonly preferred ...
5
votes
1answer
68 views
k-means clustered data: how to label newly incoming data
I have a data set with labels that were produced by a $k$-means clustering
algorithm. Now there is some data (with the same data structure) from another
source and I wonder what is the most sensible ...
0
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0answers
75 views
Resource allocation / optimization
At work I stumbled across this problem of allocating resources:
We are given a set of objects belonging to one of seven possible classes (multiple objects per class are allowed). We distinguish ...
3
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0answers
30 views
Classify/Distinguish between 8008 binary grids, with 13 queries
I have $8008$ binary grids of size $6 \times 10$ (they are all grids with the property described below), which I want to distinguish between with at most $13$ queries. A query will determine if the ...
0
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1answer
28 views
Choose the best classifier to predict the label of strings of a regular language
I have to tackle this problem:
I have some strings that are my training set. These strings belong to a regular language corresponding to a deterministic finite automata (hidden namely I don't now it, ...
1
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0answers
24 views
Classifying a problem involving matching bit arrays
First explaining the "reverse" use as a background:
There is an array A which contains N boolean values
There is an array B which contains N boolean values
I start iterating over array A and for ...
1
vote
0answers
46 views
Why do reviewers always want to compare the method with deep learning baselines and Big data?
I work on the topics of sparse coding (SC) and dictionary learning (DL), in which classification is not the main goal, but the discriminative power of the representation is one of the concerns. ...
5
votes
2answers
59 views
Given $k$ points in $n$-dimensions, such that $n\geq3$, is there a polytime algorithm for finding a curve that splits them into 2 sets of points?
So in this math exchange question I asked, it was proven that for $n>2$ dimensions, you can always find a curve that separates $k$ points in $n$-dimensional space into $2$ arbitrary sets that you ...
0
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1answer
38 views
How to show that i have significant improvements over the baselines?
I had review feedbacks regarding my recent publications and reviewers argued that the improvements are not significant over the baselines.
I tried my classification algorithm on some image datasets ...
1
vote
0answers
71 views
Why don't Artificial Neural Networks Commonly Diverge?
Introduction:
I'm using divergence here as to mean that the gradient is getting further and further from zero in stochastic gradient descent. I've written my own feed-forward neural network and tried ...
1
vote
2answers
118 views
The well-known classifiers that can be trained/tested in linear time [closed]
I am interested in collecting the list of the classifiers that (depending on their setting) can have linear time complexity (both in training and testing step) with respect to the number of samples $n$...
0
votes
1answer
51 views
How to find a possibility of match in Naive Bayes Classifier?
My math level is very very poor so I can't get the statistics.
Can anyone explain in simple words?
I.e. if I have frequency data:
...
1
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0answers
42 views
Attribute Selection for minimum number of clusters
I have a table consisting of some headers $P, Q, R, S$ (shown in blue in Table 1). According to the headers, the column $T$ is populated using some predefined logic.
Now, any of the headers $P,Q,R,S$ ...
0
votes
2answers
700 views
What is a monotone dataset and monotone classification?
Classification algorithms, such as k-Nearest Neighbors, are well known in machine learning area, but I faced this new expression Monotone classification and I wonder what does it stand for.
I guess ...
1
vote
0answers
73 views
Understanding Time Series Data for Classification
I have collected data from numerous volunteers driving a simulator in 8 different scenarios (classes). A volunteer drives in a map for 4 minutes in one scenario (one experiment), then he drives in the ...
0
votes
1answer
34 views
Feature selections : Still a high dimentionality
One of the advantage of using a features reduction/sub feature selection is to avoid a high dimentionality.
The most known method is the Forward selection, where it finds the best combinations of ...
0
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0answers
173 views
(Percision & recall) Vs (Accuracy)? which one do I have to consider?
I am running several machine learning classifiers to predict something from my data. If I visualized the precision and recall tables as a result, is it enough to get clear idea about the proposed mdel?...
2
votes
2answers
1k views
What kind of pattern recognition algorithm would Facebook use to detect suicidal users?
Facebook announced that it would employ a machine learning "reporting process using pattern recognition in posts previously reported for suicide" (https://newsroom.fb.com/news/2017/03/building-a-safer-...
1
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0answers
26 views
Should I normalize values not bigger than 1
I have a question regarding a normalization of values especially in the case of image processing features classification. What if have a series of values that will never be bigger than 1.
A = 0.004 0....
0
votes
1answer
821 views
Can a KD tree be used as a decision tree through nearest neighbor queries?
If I were to construct a KD tree representing a sufficiently dense space, could it be used as a decision tree by querying it for the nearest neighbor to the point to classify?
1
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0answers
51 views
Question about (in)dependent Haar-features and (Ada)boosting
I have an old exam question for my pattern recognition course which is stated as follows:
Consider a pool of Haar features, determine if these Haar features are independent or not. Is it a problem ...
5
votes
1answer
267 views
What is a good approach to symbol identification/recognition given a path, instead of raster data
Excuse any mistakes in my description as I'm new to ML. But I have an application that takes user input to generate paths/curves (All symbols are single paths) and I would then like to attempt ...
1
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0answers
87 views
Which Machine Learning algorithm should I use for gender tagging of words in NLP? [closed]
I have a dataset of about 26,000 words along with their gender tags [m, f or any]. Which ML algorithm should I use for Gender Tagging/Classification purpose. How should I go about it? What should be ...
1
vote
2answers
804 views
Scoring metric for machine learning method
For a machine learning method X (Deep Neural Nets variant), which performs classification tasks.
In the output layer, for every label method, ...
1
vote
1answer
537 views
how to interpret the coefficients of binary logistic regression?
I'm working on a kNN classifier to classify whether a text is written by a man or a woman on the basis of the most frequent words. However, a kNN doesn't show which features were the most important in ...
1
vote
2answers
193 views
How to use Neural Network classification if data not same size?
I have data like this.
[0 1 0 1 0]
[0 1 0 1 0 1 1]
[0 1 0 1 ]
[0 1 0 1 0 1 1 1 1 0]
...
I want to classify with Neural Network but my data different size . I can ...
2
votes
1answer
452 views
How to tackle different sample size in the training set in SVM
I have to train a SVM for a classification problem. I have some strings that are the paths in a deterministic finite automata (DFA). If the alphabet is -01- then possible strings are 011101110 or ...
5
votes
1answer
5k views
Showing that Bayes classifier is optimal
Consider domain $X$, label set $ Y=\{0,1\}$ and the zero-one loss.
Given any probability distribution D over $ X\times \{0,1\} $, we've defined the Bayes classifier $ f_D $ to be-
$$ f_{D}(x)=
\...
2
votes
1answer
71 views
Classifying objects by set proximity
The project I'm working on has a number of objects arranged in overlapping sets. I need to classify them by whether they have a trait or not, using pre-classified objects that they are connected to (...
