Tagged Questions
0
votes
2answers
43 views
difference in training and testing procedure of model
Can anyone please tell me the difference in training and testing of a model. I have developed 5/6 different single pass online learning algorithm (ets, ets+, evolving fuzzy modelling, SOFNN, ...
0
votes
0answers
105 views
Bootstrapping Methodology
I have this bootstrap setting:
Given $n$ vector-valued statistics (each statistic is a vector) of dimension $r \times 1$, I generated $1000$ bootstrap samples and then generated an estimate of each ...
3
votes
0answers
151 views
Statistics for machine learning, papers to start?
I have a background in computer programming and elementary number theory, but no real statistics training, and have recently "discovered" that the amazing world of a whole range of techniques is ...
3
votes
1answer
136 views
Machine learning predicted value
When we fit a generalized linear regression (e.g., logistic regression, gamma regression) we are estimating the population average Y given the predictors $X$ ( i.e., $E(Y | X)$ ).
When we fit a ...
0
votes
0answers
96 views
having trouble applying hidden markov models to my game [duplicate]
Possible Duplicate:
having trouble applying hidden markov/machine learning models
Happy New Year!
I’m having a problem applying hidden Markov models to a game I’m building to learn about ...
2
votes
1answer
51 views
Adjusting existing algorithm - likelihood for presence-only data
Logistic regression fits a model that predicts a binary variable whilst performing a logit transformation of the linear combination (LC) of predictors: 1/1 + exp(-LC).
I have a working machine ...
0
votes
0answers
153 views
Why would concatenating feature vectors lead to better estimates?
I wish to estimate the state of a system from two separate and disparate observations. A simple approach that I have seen in some literature is to combine the feature vectors (observations) by simply ...
7
votes
2answers
397 views
Machine learning techniques for time series estimation - forecasting price
Can anyone recommend any machine learning techniques for time series estimation?
I have a series of times $t_{1}...t_{n}$, each having a set of associated features $f_{1}...f_{m}$, and a value $x$.
...
1
vote
0answers
181 views
Confusion in MLE and EM [closed]
I was trying to read through Maximum Likelihood Estimation(MLE) and Expectation and Maximization(EM) algorithm. But while reading them, I got two interpretations. I am trying to post my questions, ...
