# Questions tagged [statistical-ai]

For questions about the applications/clarifications/intuitions/proofs behind the use of statistical methods in AI/ML programs.

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### Determining the value of error threshold in summarization of differences in multidimensional aggregates

I have been implementing an OLAP related journal "iDiff : Informative summarization of differences in multidimensional aggregates". In this paper, The author have proposed a methodology ...
1 vote
96 views

### Is there any model that is probabilistic but not statistical?

While studying about the n-gram models, I encountered the terms "statistical model" and "probabilistic model" several times. I got a basic doubt that will there be any ...
• 2,975
353 views

### How much statistics is involved in AI?

I am a 3rd-year math major, who is interested in computer science, particularly algorithms and competitive programming (did some olympiads in high school, ACM ICPC in university, etc.), and I have ...
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• 163
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### Is Nassim Taleb right about AI not being able to accurately predict certain types of distributions?

So Taleb has two heuristics to generally describe data distributions. One is Mediocristan, which basically means things that are on a Gaussian distribution such as height and/or weight of people. The ...
• 151
987 views

### Why do we need Upsampling and Downsampling in Progressive Growing of Gans

I was working recently on Progressive Growing of GANs (aka PGGANs). I have implemented the whole architecture, but the problem that was ticking my mind is that in simple GANs, like DCGAN, PIX2PIX, we ...
1 vote
87 views

### Confidence interval around a DNN prediction

I am facing a problem and do not know whether it is even solvable: I want to predict the behaviour of a system using a DNN, say a CNN, in the sense that I want to predict the time and intensity of a ...
• 163
59 views

### How important will statistical learning be to a conscious AI?

Deep learning is based on getting a large number of samples and essentially making statistical deductions and outputting probabilities. On the other hand, we have formal programming languages, like ...
• 2,014
95 views

### Finding the right questions to increase accuracy in classification

Lets say I have a list of 100k medical cases from my hospital, each row = patient with symptoms (such as fever , funny smell, pain etc.. ) and my labels are medical conditions such as Head trauma, ...
• 133
404 views

### Are standard deviation, variance, skew good features for ML?

Pretty simple question here: Is it useful to use the standard deviation, skew, kurtosis, or any other extrapolatory stats as features, and if so in which problem sets? In this case, I am talking ...
• 1,145
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### Is there a way of computing a prominence score based on the prevalence of features in an image?

Is there any previous work on computing some sort of prominence score based on the prevalence of features in an image? For example, let's say I am classifying images based on whether or not they have ...
• 1,145
160 views

### How to figure out which words have the same meaning in two different languages?

Imagine two languages that have only these words: Man = 1, deer = 2, eat = 3, grass = 4 And you would form all sentences possible from these words: ...
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### With gradient descent w/MSE on a regression, must/should every Epoch use the exact same training samples?

Let's say I've got a training sample set of 1 million records, which I pull batches of 100 from to train a basic regression model using gradient descent and MSE as a loss function. Assume test and ...
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### What is Statistical relational learning?

I have gone through the wikipedia explanation of SRL. But, it only confused me more: Statistical relational learning (SRL) is a subdiscipline of artificial intelligence and machine learning that is ...
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### What are some examples of Statistical AI applications?

I believe that statistical AI uses inductive thought processes. For example, deducing a trend from a pattern, after training. What are some examples of successfully applied Statistical AI to real-...
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