Questions tagged [classification]
The classification tag has no summary.
148 questions
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What Are The Pre-processing Steps for CNN Text Classification?
I am currently doing a project where I am using a CNN for text classification on tweet data but am unsure of what pre-processing steps need to be taken before the actual model is coded. I can't seem ...
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linear relationship between the log-odds and the features
In this post I asked about why the sigmoid/softmax function was used in classification: Binary Classification- Non-Differentiable Loss Function
But I have a followup question:
We're assuming that the ...
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Binary Classification- Non-Differentiable Loss Function
For binary classification using linear regression, we pass the output z of the linear regression through the sigmoid function so that if the linear regression takes an input x which should be ...
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Predict output using image and text variables as input
I need to implement a solution where I will have an image and other text variables as temperature, humidity and precipitacion. I wish to preview the inflow as output based on these inputs.
I suspect ...
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algorithm to categorize courses into academic degree requirements?
In most US universities, undergraduate students must satisfy the requirements of a degree program in order to graduate. The general rules are:
The university has a minimum number of total credits ...
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What is a good appropriate algorithm for localization for images?
Assume that you have an image that you going to classify its class ID.
One good option is to use interest points e.g FAST that can find coners/edges inside an image.
From these points you could ...
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Classifying vectors that only contains 1001110101 numbers - Is Support Vector Machine the solution?
Assume that you are given a vector 0b1101001001011001 etc. And you are going to classify it.
One can use Support Vector Machine, but is that method good for ...
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Schoolclass Optimization Algorithm for finding Stable Matching
I have the task to write a program that puts students in classes and that in the best possible way.
We have given the name, the foreign language a student chooses(french or latin), a profile (Music,...
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Transductive Learning vs Inductive Learning in Machine Learning
Several recent research work has shown that transductive learning/inference outperforms inductive learning/inference during classification problems. This has been found in few-shot learning, other ...
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How can a Machine Learning model predict this classification problem?
I am pretty new to ML and have a basic but fundamental question.
Let’s imagine we want to create a simple Sentiment Analysis model using Machine Learning not Deep Learning algorithms, so we need to ...
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vertex-deletion and edge-deletion parameters
Let $\mathcal{G}$ be a graph class. For any class $\mathcal{H}$, we know that the minimal number of vertices that has to be removed from $G\in \mathcal{H}$ such that we get a graph from $\mathcal{G}$ ...
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How should one interpret the minhash error rate?
On Wikipedia the error rate for the minhash algorithm vs baseline jaccard similarity is stated as 1/sqrt(1/hashes).
But, how should one interpret this number in a ...
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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 ...
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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 ...
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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 ...
