All Questions
6 questions
0
votes
1
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115
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Classification of a noisy data
What method can be used to classify data in the following example?
There is a table (hundreds of strings and hundreds of columns). Several columns in this table uniquely allow you to classify each row:...
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2
votes
1
answer
158
views
How can different classification algorithms expressed as neural networks?
I have heard that each of the different classification algorithms can be expressed as neural network architecture. How can the different algorithms like Logistic Regression, SVM(Support Vector Machine)...
- 153
1
vote
1
answer
158
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Confusion regarding the Working mechanism of Activation function
For binary classification irrespective of the model used, the sigmoid function is a good choice for output layer because the actual output value ‘Y’ is either 0 or 1 so it makes sense for predicted ...
- 541
9
votes
1
answer
790
views
Is there any domain where Spiking Neural Networks outperform other algorithms (non-spiking)?
I'm reading about reservoir computing techniques like Echo State Networks and Liquid State Machines. Both of the methods involve feeding inputs to a population of randomly (or not) connected spiking ...
- 191
3
votes
1
answer
2k
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Deriving Feature Map formula for Inhomogeneous Polynomial Kernel
How do we derive/extrapolate the feature map for inhomogeneous polynomial kernels for degree $d$, define as $$K(x, x^\prime) = \bigg( (x \cdot x^\prime) + c\bigg)^d$$
I know we don't need to know a ...
- 511
3
votes
2
answers
214
views
Reason behind choosing Neural Network for classification
Given a two class multi dimensional classification problem, what reason would you give to choose Artificial Neural Network for carrying out the classification instead of Support Vector Machine or ...
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