Bissoy.com
Doctors Medicines MCQs Q&A

Which of the following statements is not true about kernel trick?

Which of the following statements is not true about kernel trick? Correct Answer The training data only enter the algorithm through their individual attributes

The training data only enter the algorithm through their entries in the kernel matrix (Gram matrix), and never through their individual attributes. All three are the advantages of kernel trick.

Related Questions

User level threads are threads that are visible to the programmer and are unknown to the kernel. The operating system kernel supports and manages kernel level threads. Three different types of models relate user and kernel level threads. Which of the following statements is/are true ? (a) (i) The Many - to - one model maps many user threads to one kernel thread (ii) The one - to - one model maps one user thread to one kernel thread (iii) The many - to - many model maps many user threads to smaller or equal kernel threads (b) (i) Many - to - one model maps many kernel threads to one user thread (ii) One - to - one model maps one kernel thread to one user thread (iii) Many - to- many model maps many kernel threads to smaller or equal user threads
To build a modularized kernel, the kernel-headers and kernel-source packages must first be installed. Where will you find the kernel-headers and kernel-source?
Given below are six sentences 4 of which are jumbled. The first and the last sentence are given. Pick the option that gives the logically correct order of the four sentences. S1: The salt seller came to understand the trick and decided to teach the donkey a lesson. A: But the dampened cotton became very heavy to carry and the donkey suffered. B: It learnt a lesson. C: Again it played the same trick hoping that the cotton bag would become lighter. D: The next day he loaded a cotton bag on the donkey. S6: It didn’t play the trick anymore after that day, and the salt seller was happy.
From an alloy, two specimens are machined and tested separately under tension and compression. The engineering stress-strain curves as well as the true stress-true strain curves for tension and compression are plotted in the same diagram. Identify the correct statements:
P. The engineering stress-strain curves in tension and compression are identical.
Q. The true stress-true strain curve in compression is lower than the true stresstrue strain curve in tension due to Bauschinger effect.
R. The true stress-true strain curve in tension is above the corresponding engineering stress-strain, curve.
S. The true stress-true strain curve in tension and compression are identical.
What is the purpose of the Kernel Trick?
In the context of machine learning, what is the purpose of the "kernel trick" in support vector machines (SVMs)?
The kernel trick
We usually use feature normalization before using the Gaussian kernel in SVM. What is true about feature normalization?
1. We do feature normalization so that new feature will dominate other
2. Some times, feature normalization is not feasible in case of categorical variables
3. Feature normalization always helps when we use Gaussian kernel in SVM
Give the correct Answer for following statements. 1. It is important to perform feature normalization before using the Gaussian kernel. 2. The maximum value of the Gaussian kernel is 1.
What is/are true about kernel in SVM?
1. Kernel function map low dimensional data to high dimensional space
2. It's a similarity function