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Slim Shady
  • Member for 2 years, 9 months
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6 votes
1 answer
233 views

True Error in Machine Learning

6 votes
1 answer
863 views

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

5 votes
1 answer
2k views

Boosting reduces bias when compared to what algorithm?

5 votes
1 answer
249 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

4 votes
2 answers
75 views

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

4 votes
2 answers
198 views

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

3 votes
1 answer
200 views

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

3 votes
1 answer
191 views

Pattern Recognition and ML Exercise 1.4

3 votes
1 answer
96 views

Resources on on-line machine learning

3 votes
1 answer
120 views

Machine learning kernel with complex feature map

2 votes
1 answer
71 views

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

2 votes
1 answer
110 views

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

2 votes
0 answers
204 views

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

2 votes
0 answers
29 views

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

2 votes
1 answer
344 views

Rewriting the Ridge Regression coefficients

2 votes
1 answer
140 views

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

2 votes
1 answer
191 views

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

2 votes
1 answer
193 views

Expected value of random walk

2 votes
1 answer
131 views

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

2 votes
1 answer
95 views

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

2 votes
1 answer
80 views

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

1 vote
0 answers
75 views

Sample complexity and VC dimension

1 vote
1 answer
300 views

Proving the function is a kernel

1 vote
0 answers
111 views

Generating function of a random walk

1 vote
1 answer
452 views

Sigmoid equivalent to Softmax exercise

1 vote
1 answer
47 views

Deriving the normal equations' coefficients

1 vote
1 answer
71 views

Proving that the function is psd

0 votes
1 answer
122 views

Sigmoid equivalent to Softmax exercise 2 [duplicate]

0 votes
0 answers
148 views

Termination of the random walk