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2 votes
1 answer
567 views

Simple Least Squares Regression?

I have a vector X of 50 real numbers and a vector Y of 50 real numbers. I want to model them as y = ax + b How do I determine a and b such that it minimizes the ...
Andrew Tomazos's user avatar
0 votes
1 answer
132 views

Regression on Linear Model?

I have 50 or so training examples involving a set of 200 or so real numbers (x1,x2,...,x200) (normalized to a 0 mean and std dev 1), and a single output real (y) in the range 0.0..1.0. I want to fit ...
Andrew Tomazos's user avatar
5 votes
2 answers
1k views

How did Target figure out a teen girl was pregnant before her father did?

First of all I do not have a mathematics degree only a B.S. in finance so please take that into account when writing an answer. Generally what type of mathematics is involved here? And specifically ...
user26093's user avatar
0 votes
2 answers
108 views

preliminary evaluation for forecasting models

Suppose I would like to use a method for data prediction, and that I have some empirical data (i.e., sequence of samples of the form [time, value]). Would it be possible to know in advance, based on ...
zzzbbx's user avatar
  • 1,511
2 votes
1 answer
261 views

How does the backward/forward algorithm work if there is no end?

I'm using Jason Eisner's spreadsheet to understand HMM more better. There's a box at the top that have a transition matrix. I see the Cold day and Hot day options, but don't understand why there's a ...
Lostsoul's user avatar
  • 419
4 votes
2 answers
798 views

How to generate and use random trees?

I have the assignment to implement a random tree classifier in MATLAB. The lecture says: ...
mmlac's user avatar
  • 141
17 votes
2 answers
2k views

What is the relationship between the Boltzmann distribution and information theory?

I'm reading a paper on Boltzmann machines (a type of neural network in Machine Learning), and it mentions that "The Boltzmann distribution has some beautiful mathematical properties and it is ...
grautur's user avatar
  • 1,103
1 vote
1 answer
4k views

Maximum Likelihood Estimator for Multivariate Bernoulli

I am working on deriving Naive Bayes for document classification. Each document is represented by a binary vector $x^i$ where $i=1,..,N$ for N documents. In this vector a cell is set to 1 if that ...
BBSysDyn's user avatar
  • 16.2k
0 votes
1 answer
304 views

dependency between regression coefficients and probability distribution

let's consider regression problem. Given set of training data $\{(x_i,y_i)\}_{i=1}^N$, $x_i \in \mathbb{R}^n$ and $y_i \in \mathbb{R}$, find prediction function $y = f(x)$, e.g. in RBF regression case ...
TheBug's user avatar
  • 290
3 votes
1 answer
229 views

Help needed on method to use for anomaly detection in Computer Science

I think people here could guide me in solving a problem related to anomaly detection. The term anomaly here refers to some undesired event occurring in the system like a virus infection. I could get ...
user5507's user avatar
  • 358

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