Tagged Questions

0
votes
0answers
24 views

Appropriate method for supervised learning of small data set with few variables

What method exc. for regression can be used in order to get y=f(x1,x2) on a training set of 800 to 2000 samples? y is a whole number <0,15>, x1,x2 are real <0,40>? I'm interested in prediction ...
1
vote
1answer
53 views

Should neural net training data reflect the “proportions” to be expected in real data

I am currently training a NN classifier on synthetic data generated from a model of real data, and this synthetic data is uniformly generated across the range of values expected in the real data. ...
7
votes
2answers
986 views

What are the differences between hidden Markov models and neural networks?

I'm just getting my feet wet in stats so I'm sorry if this question does not make sense. I have used Markov models to predict hidden states(unfair casios, dice rolls,etc) and neural networks to study ...
1
vote
1answer
213 views

Dimension reduction issues in self-organizing maps (SOM)

Self organizing maps are claimed to be able to visualize/cluster high-dimensional data in a smaller dimensional space. I have some difficulties in understanding this statement. Consider a ...