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Results tagged with machine-learning
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user 71428
Machine learning algorithms build a model of the training data. The term "machine learning" is vaguely defined; it includes what is also called statistical learning, reinforcement learning, unsupervised learning, etc. ALWAYS ADD A MORE SPECIFIC TAG.
0
votes
Need guidance on image classification problem with large feature matrix
Here is a very simple-minded idea that goes one step backwards from where you are (where you split each image into zones etc). It assumes that computation is cheap. Just use each pixel as a feature. E …
- 150
1
vote
Bernoulli mixture models for image classification, pathological cases
I too have recently programmed Bernoulli naive Bayes from scratch for MNIST classification. I decided to eliminate all unchanging pixels from computations. For the MNIST images, many pixels around the …
- 150
2
votes
What is energy minimization in machine learning?
In signal detection literature, the energy of a signal $x_t$ is defined as
$$
E = \Sigma x_t^2
$$
When predicting some response y from some features x, a very common and simple way to proceed is to m …
- 150
0
votes
Machine Learning Procedure for Fractional/Proportional Data?
If the outcome variable really is a fraction, e.g. 15/200, then the most obvious possibility is logistic regression. Here is an example with R
x<-seq(20,80,len=5)
n<-c(50,50,50,50,50)
y<-c(6,10,20,37 …
- 150