Statistical Learning

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Questions related to Statistical Learning

While making prediction with Fuzzy Logic in Matlab, do we have to define the rules for Testing sets also?

I have a dataset with 19 training points and 6 testing points. At first I defined the rules for 19 training sets and then tried making predictions for the rest of 6 points. But I got all constant...

07 January 2021 3,942 5 View

Is Uniform Convergence property contradictory to No Free Lunch Theorem?

In Statistical Learning Theory, Uniform convergence means for a hypothesis class H, given m(\delta, \epsilon), for arbitrary distribution over domain (X, Y), with probability $1- \delta$, the...

04 November 2020 7,893 5 View

Is there any research about dynamical systems theory that helps to improve the statistical learning theory?

For example; can the dynamical systems theory help us find underlying general structures of the systems to make more accurate models?. Perhaps some data reflect these structures that are not...

09 September 2019 9,507 1 View

Is there any research about dynamical systems theory that helps to improve the statistical learning theory?

For example; can the dynamical systems theory help us find underlying general structures of the systems to make more accurate models?. Perhaps some data reflect these structures that are not...

06 September 2019 4,059 1 View

Is the Bayesian updating and/or Bayesian inference considered as a subset of machine learning or statistical learning methods ?

Bayesian updating and and Bayesian networks are used in so many machine learning algorithms, but can we consider them as machine learning techniques? and if we can, under what circumstances? and...

06 June 2019 6,110 6 View

Is the Bayesian updating and/or Bayesian inference considered as a subset of machine learning or statistical learning methods ?

Bayesian updating and and Bayesian networks are used in so many machine learning algorithms, but can we consider them as machine learning techniques? and if we can, under what circumstances? and...

02 June 2019 9,504 5 View

Where I can acquire Diabetes dataset?

I am university student and my bachelor thesis is Diabetes Pre-diagnostics with Statistical Learning. I need dataset including items of common risk factors of diabetes. Is there someone who could...

11 November 2018 3,650 9 View

What is the effective method of statistical analysis to interpret the results?

We have conducted study with intervention of exercise to measure muscle strength (6 variables) and balance (3 variables). The measurements had been taken at 5 regular intervals (pre, post 1, post...

07 July 2018 3,693 6 View

Is there any good book or papers to study sampling strategies in big data domain?

I want to know different sampling strategies to understand big data. Or statistical learning with respect to big data

06 June 2018 2,092 1 View

Is there any literature in machine learning that tries to design classifiers without the notion of metrics?

Is there any literature that focuses on design of the classifier theoretically, without considering metrics.

03 March 2018 5,379 4 View

In statistical learning systems, can we find a way to optimize data using the data mining method?

The Big Data revolution promises to transform how we live, work, and think by enabling process optimization, empowering insight discovery and improving decision making. The realization of this...

12 December 2017 2,701 3 View

Which of statistical learning and machine learning works better in theory?

I wonder if there is any explanation that which of statistical learning or machine learning may work better and what is reason for that.

11 November 2017 9,769 9 View

What do you think about Friston's predictive coding and Free Energy Principle? Is this the future of brain science or an eyewash?

Please write me pro and contra arguments!

08 August 2017 9,532 2 View

What do you think about Friston's predictive coding and Free Energy Principle? Is this the future of brain science or an eyewash?

Please write me pro and contra arguments!

01 August 2017 972 2 View

Regarding Overfitting and Computational Learning Theory (COLT)

The aspect of over-fitting is typically viewed from the perspective of both- accuracy and model complexity. To mitigate over-fitting, we usually have the practical approach of having k-fold...

05 May 2017 1,135 1 View

What's the difference between prediction and inference in Statistical learning area?

As the title, I am learning Bayesian method now. Previously, I preferred to use prediction regarding to a concrete machine learning problem, but I found out that people usually use 'inference' in...

04 April 2017 4,254 0 View

Bayesian book/articles for beginners ?

Hello, I am searching for a good Bayesian book for someone who has good notions about statistics but never realy learned inferential statistics. Does anybody know a good book to get started with...

03 March 2017 3,773 3 View

Reliable & short statistical learning tasks?

I know I may be asking for the moon, but does anyone know of a statistical learning task that is fast to administer (around 5 minutes or less) and that has high(ish) reliability?

11 November 2016 8,507 0 View

What are the best machine learning methods for imbalamced data?

If the data for the classes is imbalanced what are the best machine learning algorithms and will he choice vary in the case of binary and multi-class classification

09 June 2016 582 5 View

What are the best machine learning methods for imbalamced data?

If the data for the classes is imbalanced what are the best machine learning algorithms and will he choice vary in the case of binary and multi-class classification

06 June 2016 7,348 6 View

Does anyone have a graphical representation/explanation of the difference between ANOVA, ANCOVA, MANOVA and MANCOVA?

11 May 2016 9,676 3 View

Does anyone have a graphical representation/explanation of the difference between ANOVA, ANCOVA, MANOVA and MANCOVA?

05 May 2016 4,879 4 View

What is the pros and cons of Convolutional neural networks?

Hi researchers! I am a learner of statistics learing and machine learning. After applying the Convolutional neural networks into image recognition and text mining, I think this method is powerful...

06 March 2016 3,331 7 View

What is the pros and cons of Convolutional neural networks?

Hi researchers! I am a learner of statistics learing and machine learning. After applying the Convolutional neural networks into image recognition and text mining, I think this method is powerful...

03 March 2016 8,348 5 View

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