Statistical Analysis Stack Exchange
Statistical Analysis Stack Exchange

Questions tagged [artificial-intelligence]

Artificial Intelligence (AI) is a topic in computer science that deals with the study / creation of intelligent machines. Use this tag for on-topic questions that have an AI aspect.

Artificial Intelligence (AI) is a topic in computer science that deals with the study of / creation of intelligent machines. An "intelligent machine" is usually defined as a machine that performs / behaves as an intelligent agent (e.g., a person) in a given context so well that the machine and the person cannot be reliably differentiated.

While there are many aspects of AI, there are several that are relevant to this site. Most notably, is a prominent component of AI.

Any questions pertaining to AI, but especially for broader questions not related to statistics or machine learning, may be asked on SE's dedicated artificial intelligence site.

291 questions
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Objective function, cost function, loss function: are they the same thing?

In machine learning, people talk about objective function, cost function, loss function. Are they just different names of the same thing? When to use them? If they are not always refer to the same thing, what are the differences?
Bin
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What is the difference between off-policy and on-policy learning?

Artificial intelligence website defines off-policy and on-policy learning as follows: "An off-policy learner learns the value of the optimal policy independently of the agent's actions. Q-learning is an off-policy learner. An on-policy learner…
cgo
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4 answers

What can we learn about the human brain from artificial neural networks?

I know my question/title is not very specific, so I will try to clearify it: Artificial neural networks have relatively strict designs. Of course, generally, they are influenced by biology and try to build a mathematical model of real neural…
daniel451
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How to train LSTM model on multiple time series data?

How to train LSTM model on multiple time series data? Use case: I have weekly sales of 20,000 agents for last 5 years. Need to forecast upcoming weekly sales for each agent. Do I need to follow a batch processing technique - take one agent at a…
Aljo Jose
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19
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3 answers

What is the difference between bagging and random forest if only one explanatory variable is used?

" The fundamental difference between bagging and random forest is that in Random forests, only a subset of features are selected at random out of the total and the best split feature from the subset is used to split each node in a tree, unlike in…
Muhammed A. Zidan
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16
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2 answers

What is the difference between policy-based, on-policy, value-based, off-policy, model-free and model-based?

I'm trying to clear things out for myself, there are a lot of different categorizations within RL. Some people talk about: On-policy & Off-Policy Model-based & Model-free Model-based, Policy-based & Value-based (+ Actor-Critic=…
Dave Ouds
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4 answers

Are experts harmful?

I'm reading "The Role of Chess in Artificial Intelligence Research" (pdf) and interestingly, it says: Experience [...] suggests that inputs from chess experts, while generally useful, cannot be trusted completely. A good example of this is Deep…
andreister
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Foundation models : Is it a new paradigm for statistics and machine learning?

A recent debate on so called Foundation models (CRFM) brings a real question of if we can build very large models on any specified domain, similar to current large language models, and replace our any statistical or machine learning modelling…
msuzen
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Mathematics base for data mining and artificial intelligence algorithms

Could you give me some clarification about data mining and artificial intelligence algorithms? What mathematics base they used for? Could you give me starting point, in mathematics, to understand these types of algorithms?
Zagorulkin Dmitry
10
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1 answer

Statistical learning theory VS computational learning theory?

What relations and differences are between statistical learning theory and computational learning theory? Are they about the same topic? Solve the same problems, and use the same methods? For example, the former says it is the theory of prediction…
Tim
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How to make a Neural network understand that multiple inputs are related (to the same entity)?

I am not sure if this is the right place to ask this but here goes: Sometimes times two or more inputs of a neural networks can often be related to a single "real world" entity. E.g : Height and weight of a person to predict the probability of…
Shayan RC
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What are the most popular artificial neural network algorithms for recognising the content of images?

What are the most used/popular artificial neural network algorithms for recognising the content of images in general? E.g. If the picture is of a person, dog, cat or a car. If the picture is a landscape, indoor or some banner or advert. etc. I've…
kenorb
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7
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3 answers

What happens in the sub-areas of AI? (ML, DL)

I have problems with understanding the sub-areas of AI and how it works. AI has the sub-area Machine Learning (ML), in which learning algorithms are used. Supervised/unsupervised learning takes place in this area. Learning algorithms are, for…
review
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What is the difference between artificial intelligence and machine intelligence?

I have read the term "machine intelligence" in a few places, e.g. https://web.archive.org/web/20170219022131/https://research.google.com/pubs/MachineIntelligence.html: Research at Google is at the forefront of innovation in Machine Intelligence,…
Franck Dernoncourt
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7
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Q-Learning stuck on a nearly toy problem

I'm using Q-Learning to train a MDP-based form filling dialogue manager. Right now it operates in a nearly toy setup with the total of 210 states (generally corresponding to form filling progress) and 6 available actions (e.g. greeting, asking for…
Igor Shalyminov
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