Signal Processing Stack Exchange
Signal Processing Stack Exchange

Questions tagged [machine-learning]

241 questions
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what does prototype mean in clustering?

I am studying decision trees and machine learning. I have encountered with this word several time. Although, it seems that it not an important concept, I cannot understand this word in machine learning literature. For example: if the test does not…
David
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Machine learning with only positive labels

Suppose I have a binary classification problem with 10 features and about 1000 samples. In the training set, most of my data is unlabeled (75%). The rest of the data is labeled but contains only positive labels. In the test set, I have both negative…
emmy
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How Random Forests can be used for regression?

I have an understanding of how random forests can be used for regression. But, I am still unable to understand, how random forests can be used for regression. I have already read the research work of Leo Brieman on random forests. But, I still fail…
Swaroop
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Is it okay to include "Machine learning" in Digital Signal Processing labs?

I teach a Digital Signal Processing Lab to Electrical Engineering undergraduate level students. We have most Labs on MATLAB and some Labs on a dsp kit tms320c6713. I am planning to incorporate topics and contents related to Machine Learning, and I…
vbc
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What does it mean to train and test a data for feature extraction?

I know how to do a feature extraction of a data using specific feature like entropy, and energy, using its train and test file to get the accuracy of it. But, i'm still quite confused on the concept of what is the train and test data. Does train…
user3646742
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What is the Relationship between signal processing and machine learning?

What is the relationship between signal processing and machine learning? Is signal processing necessary or helpful before learning Machine learning?
DSP_CS
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K-Fold Cross-Validation With Only a Low Identification Accuracy for the First Fold

I am using K-Fold cross validation from sklearn.model_selection for evaluating the performance of my model. K=10 and the K-fold cross-validation is set as: kfcv=Kfold(n_splits=10, random_state=0, shuffle=True) The result of the first fold is 70%…
I.O Animasahun
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Can Convolution neutral network train(learn) separately (train different times)?

I am new in Convolution neutral network(CNN). My question is, is there a way to let CNN train separately? For example, at very beginning, CNN only need to learning hardwriting 0 and 1. After the training is good enough(0 and 1 only), now, I want…
Sunson29
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