User Slim Shady

5 votes

1 answer

79 views

Describe a situation where a training point can be removed without affecting the resulting 1-NN classification for any test point in the input space

machine-learning k-nearest-neighbour

asked Sep 30, 2021 at 16:07

5 votes

1 answer

331 views

If my data doesn't completely follow the Zipf's law, how do I justify it mathematically?

zipf

asked Feb 3 at 12:22

4 votes

2 answers

60 views

Why $\sum^C_{c\neq c^}P(c|x)[1-P(c|x)]+p^(1-p^) \leq (C-1)\frac{1-p^}{C-1}[1-\frac{1-p^}{C-1}]+p^(1-p^*)?$

bayesian k-nearest-neighbour

asked Oct 4, 2021 at 16:46

4 votes

2 answers

76 views

How $\hat{y}_0=x_0^T\beta+\sum^N_{i=1}l_i(x_0)\epsilon_i$?

regression

asked Oct 5, 2021 at 18:41

3 votes

1 answer

107 views

What is the expected number of correct matches that the medium will make (by chance)?

probability matching

asked Oct 3, 2021 at 18:09

3 votes

1 answer

39 views

Machine learning kernel with complex feature map

kernel-trick complex-numbers

asked Oct 24, 2021 at 21:08

3 votes

1 answer

150 views

Boosting reduces bias when compared to what algorithm?

machine-learning bootstrap boosting bagging adaboost

asked Nov 15, 2021 at 20:57

2 votes

1 answer

79 views

Resources on on-line machine learning

machine-learning self-study references

asked Nov 15, 2021 at 23:39

2 votes

1 answer

55 views

How can I show that these two variables in a Markov network are marginally independent?

self-study markov-random-field

asked Oct 26, 2021 at 16:56

2 votes

1 answer

62 views

How can I derive the joint distribution for this Markov network?

markov-random-field

asked Oct 26, 2021 at 18:46

2 votes

1 answer

114 views

Rewriting the Ridge Regression coefficients

regression machine-learning ridge-regression weights

asked Aug 17, 2021 at 7:31

2 votes

0 answers

71 views

True Error in Machine Learning

machine-learning

asked Aug 9, 2021 at 11:34

2 votes

1 answer

127 views

Interpretation of $\mathcal{D}$ and difference between the accuracy parameter and training error

machine-learning

asked Aug 10, 2021 at 9:38

2 votes

1 answer

61 views

Expected value of random walk

expected-value

asked Aug 12, 2021 at 11:06

2 votes

1 answer

45 views

Differentiating a Vector and a Matrix w.r.t. a Vector [Matrix Calculus]

matrix derivative calculus

asked Aug 29, 2021 at 8:32

2 votes

1 answer

74 views

Pattern Recognition and ML Exercise 1.4

machine-learning probability distributions calculus

asked Aug 29, 2021 at 9:28

1 vote

0 answers

48 views

Derive the criterion for minimizing the expected loss when there is a general loss matrix and general prior probabilities for the classes

machine-learning classification bayes-optimal-classifier

asked Sep 30, 2021 at 9:33

1 vote

0 answers

56 views

Generating function of a random walk

moment-generating-function random-walk

asked Aug 12, 2021 at 11:09

1 vote

1 answer

64 views

Is it always possible to find a joint distribution $p(x,y)$ consistent with the results of both labs?

marginal-distribution markov-random-field

asked Oct 26, 2021 at 19:08

1 vote

1 answer

31 views

Multi-armed bandit - how does the gambler choose what's the best strategy?

reinforcement-learning multiarmed-bandit

asked Jan 12 at 9:14

1 vote

0 answers

23 views

Why is the inequality true? How do I interpret $\mathcal{D}^m(\{S:L_{(\mathcal{D},f)}(A(S))\gt \epsilon\})$ geometrically?

machine-learning

asked Aug 16, 2021 at 9:46

0 votes

1 answer

76 views

Sigmoid equivalent to Softmax exercise

reinforcement-learning softmax sigmoid-curve

asked Jan 20 at 9:15

0 votes

1 answer

47 views

Sigmoid equivalent to Softmax exercise 2 [duplicate]

reinforcement-learning softmax sigmoid-curve

asked Jan 20 at 10:33

0 votes

1 answer

31 views

How can we incorporate an offset into a software library which performs least squares without offset

regression self-study mathematical-statistics linear-model offset

asked Aug 1 at 15:54

0 votes

1 answer

38 views

Deriving the normal equations' coefficients

regression self-study derivative calculus

asked Aug 1 at 18:26

0 votes

0 answers

15 views

Hidden Markov Model Exercise BRML 23.3

markov-process hidden-markov-model

asked Nov 6, 2021 at 15:41

0 votes

0 answers

33 views

+50

First-Visit Monte Carlo Prediction Algorithm Walkthrough

monte-carlo markov-process reinforcement-learning markov-decision-process

asked Nov 25, 2021 at 3:26

0 votes

1 answer

70 views

Proving that the function is psd

self-study

asked Oct 24, 2021 at 21:28

0 votes

0 answers

37 views

Termination of the random walk

expected-value

asked Aug 12, 2021 at 11:14

0 votes

0 answers

42 views

1-NN classifier error rate achieving the Bayes classifier error rate example

bayesian k-nearest-neighbour

asked Sep 30, 2021 at 15:49

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34 Questions

Describe a situation where a training point can be removed without affecting the resulting 1-NN classification for any test point in the input space

If my data doesn't completely follow the Zipf's law, how do I justify it mathematically?

Why $\sum^C_{c\neq c^}P(c|x)[1-P(c|x)]+p^(1-p^) \leq (C-1)\frac{1-p^}{C-1}[1-\frac{1-p^}{C-1}]+p^(1-p^*)?$

How $\hat{y}_0=x_0^T\beta+\sum^N_{i=1}l_i(x_0)\epsilon_i$?

What is the expected number of correct matches that the medium will make (by chance)?

Machine learning kernel with complex feature map

Boosting reduces bias when compared to what algorithm?

Resources on on-line machine learning

How can I show that these two variables in a Markov network are marginally independent?

How can I derive the joint distribution for this Markov network?

Rewriting the Ridge Regression coefficients

True Error in Machine Learning

Interpretation of $\mathcal{D}$ and difference between the accuracy parameter and training error

Expected value of random walk

Differentiating a Vector and a Matrix w.r.t. a Vector [Matrix Calculus]

Pattern Recognition and ML Exercise 1.4

Derive the criterion for minimizing the expected loss when there is a general loss matrix and general prior probabilities for the classes

Generating function of a random walk

Is it always possible to find a joint distribution $p(x,y)$ consistent with the results of both labs?

Multi-armed bandit - how does the gambler choose what's the best strategy?

Why is the inequality true? How do I interpret $\mathcal{D}^m(\{S:L_{(\mathcal{D},f)}(A(S))\gt \epsilon\})$ geometrically?

Sigmoid equivalent to Softmax exercise

Sigmoid equivalent to Softmax exercise 2 [duplicate]

How can we incorporate an offset into a software library which performs least squares without offset

Deriving the normal equations' coefficients

Hidden Markov Model Exercise BRML 23.3

First-Visit Monte Carlo Prediction Algorithm Walkthrough

Proving that the function is psd

Termination of the random walk

1-NN classifier error rate achieving the Bayes classifier error rate example