Questions tagged [classification]

The tag has no usage guidance.

Filter by
Sorted by
Tagged with
0
votes
0answers
13 views

Does it make sense to use Bayesian Network to understand feature correlation of clusters created with K-means?

My project idea is to create clusters of typical rooms for hotel customers, indicate which rooms are similar to the one they are looking for and let them understand why they are conceptually similar. ...
0
votes
0answers
43 views

What is meant by A determine BC in functional dependency. How the validity of this statement will be checked

We use notation A determines BC in a database for functional dependency. Same way we use equations in mathematics which shows dependency of variables. We have inference rules in logics, functions in ...
1
vote
1answer
28 views

Find the exactly correct separating hyperplane of SVM when the data is not perfectly linearly separable

I am thinking about the following case where the data in region 1 is always positive and the data in region 2 is always negative, but the data in region 3 can be both positive and negative. Are there ...
0
votes
0answers
14 views

Need help by choosing classifier method

I have a task to teach a classifier for some specific data: There are rows that consist of lengths of distances to some objects (for example, 10 columns with distances values). For each row objects ...
0
votes
0answers
34 views

What are the confusion matrix values?

I'm currently going through past paper questions and was wondering if I could get some help answering this one? 'Consider a classification model which is applied to a set of records, of which 100 ...
0
votes
0answers
21 views

Does Linear Discriminant Analysis make dimensionality reduction before classification?

I'm trying to understand what LDA exactly does when used as a classifier, i've understood how the dimensionality reduction works and i've understood that the classification task is carried out with ...
0
votes
1answer
29 views

SVMs - Fat (Margin) Boundary: Why is $\max\frac1{||\theta||}=\min \frac{ ||\theta||^2}{2}$?

I am trying to understand SVMs in depth watching lectures from MIT. The professor to reduces the classification problem into an optimization problem. To do that, he first defines the decision and ...
1
vote
1answer
14 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
votes
0answers
14 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?
0
votes
0answers
18 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
votes
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
votes
2answers
23 views

ML Algorithm for getting top pick in each sample

I have a dataset of streets - and each street contains several houses. ...
0
votes
0answers
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
votes
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
votes
1answer
32 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
87 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. ...
0
votes
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
votes
1answer
44 views

Mapping categorical data in K-nearest neighbour

I have a data set which contains categorical data, for example: ...
4
votes
1answer
80 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
votes
1answer
51 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
16 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
1answer
53 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
vote
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
votes
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
votes
1answer
44 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
38 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 ...
0
votes
0answers
511 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
70 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
votes
0answers
77 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
votes
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
votes
1answer
30 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
vote
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
votes
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
136 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
62 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
vote
0answers
44 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
812 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
votes
0answers
176 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
vote
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
888 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
vote
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
268 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
vote
0answers
91 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
820 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, ...