Questions tagged [classification]

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Risk score from Neural Network classifier (more than 2 categories)

I am trying to use a Neural Network to perform multiclass classification. The classes represent Insurance Risk Level. The most risky level is Level 1, the least risk corresponds to Level 10. The ...
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12 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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1answer
22 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}^* | \,...
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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 ...
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17 views

What classifier can recognize differences in two text strings immediately?

I'm playing around with the TextBlob library for python. It has in it a NaiveBayesClassifier as well as a ...
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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 ...
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11 views

Can an optimal global classification tree be constructed from trees for single categories?

Suppose we have a set of objects, each belonging to one of the disjoint categories $c_1, ... , c_n$. Suppose further that for every single category $c_i$ there is a corresponding set $T_i$ that ...
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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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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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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 ...
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13 views

How does the Random Forest classification function

I was going the through Random forest classification trying to understand it and I stumbled on two equation and I was wondering if anyone knows their name. what are the names of the theorms or ...
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1answer
21 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 ...
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1answer
25 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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135 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 ...
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1answer
37 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 ...
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59 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 ...
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10 views

About cross-entropy loss

Is there a classification scenario with cross-entropy loss such that the loss as a function of the predictor/neural net's parameters is a function s.t it satisfies the properties of (a) having a ...
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26 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 ...
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1answer
22 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, ...
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20 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 ...
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40 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. ...
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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 ...
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1answer
30 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 ...
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63 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 ...
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2answers
82 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 $n$...
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1answer
28 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: ...
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25 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 $P,Q,R,S$ ...
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452 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 ...
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71 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 ...
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1answer
33 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 ...
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142 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?...
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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-...
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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....
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1answer
524 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?
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49 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 ...
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1answer
251 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 ...
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78 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 ...
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2answers
723 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, ...
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1answer
405 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 ...
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2answers
187 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 ...
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1answer
341 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 ...
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1answer
3k 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)= \...
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1answer
66 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 (...
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0answers
51 views

Machine Learning Algorithm Recommendation For Sensor Data [closed]

I would like to classify data coming from a sensor. In the literature Hidden Markov Model and SVM are used, but I would like to improve results with another methods.The picture how data and classes ...
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1answer
1k views

What is the different between Dijsktra's algorithm and KNN?

I am implementing machine learning software and in my case, I am using K-nearest neighbour classifier to get the task done. So far, I am trying to understand how Dijkstra's algorithm that has been ...
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2answers
362 views

Keywords for classification of 2D time series data?

Trying to find the right search terms for literature on classifying 2D time series data. I am looking at data from positional tracking of a swarm of insects over time. I have example datasets for ...
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1answer
60 views

Question about handwritten numbers recognition with limited data set

I have a an assignment to make a classifier for hand-written numbers with a limited data set of 500 samples. I am currently using python, I tried sklearn SVC with linear classifier and I got an ...
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1answer
219 views

How does an image classifier select relevant features?

I am trying to understand cascade classifiers for computer vision. I use OpenCV Traincascade for now and successfully trained some cascades. However I am trying to grasp the whole process. One thing ...
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49 views

Genetic algorithms, Pittsburg - Reach a decision from a set of rules

Consider a binary classification problem. In the Pittsburg approach each member of the population represents a set of rules. Each rule encodes information regarding the data features (that is, the ...
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2answers
248 views

Language Classification + AWS ML: what am I doing wrong?

I'm evaluating Amazon's machine learning platform, and thought that I would give it a "simple" classification problem first. As a disclaimer, I am quite new to machine learning (hence my interest in ...