Questions tagged [definitions]
For questions about the definition of terms used in artificial intelligence research and development, including the definition of intelligence, algorithms, jargon, principles, methodologies, mathematical terms, concepts, topologies, architectures, designs, jargon, and AI domains such as robotics, network training, or automated vehicles.
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What is Canonical Problem in Artificial and Natural Development
I am reading the book, “Foundations of Computational Intelligence Volume 1 Learning and Approximation” and there is a definition that I cannot understand.
Artificial Development is a field of ...
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How to tell if a model is generative vs. predictive?
How does one tell if a given model is generative AI or predictive AI?
Do generative models have more outputs than inputs and vice versa for predictive models?
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What constitutes a 'backdoor' attack in machine learning models?
I've recently come across the term "backdoor attack" in the context of machine learning and I'm trying to understand its precise definition and characteristics. From what I gather, backdoor ...
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What does "aligned" across domains in domain adaptation?
within Delving into Local Features for Open-Set Domain Adaptation in Fundus Image Analysis paper. I got trouble in understanding their cluster-aware contrastive adaption $\mathcal{L}_\text{cca}$.
I ...
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Is $s_0$ the current state in policy gradients?
As far as I understand from here (source: OpenAI), the objective function in Policy Gradient is:
$$J(\pi_{\theta})=E_{\tau\sim\pi_{\theta}}[R(\tau)],$$
where $R(\tau)=r_0+r_1+...+r_T$, with $r_t$ ...
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Would a pipeline of different models be considered Ensemble Learning?
For example, if I have a problem in which I try to predict if it is a nice day for jogging from a corpus of images, I might first convert the images to text descriptions (ex. raining in forrest, ...
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What are the differences between seq2seq and encoder-decoder architectures?
I've read many tutorials online that use both words interchangeably. When I search and find that they are the same, why not just use one word since they have the same definition?
user78615
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What is 'system card'?
What is 'system card' in these context:
https://ai.meta.com/blog/system-cards-a-new-resource-for-understanding-how-ai-systems-work/
Additionally, individual model developers may provide ...
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What is the concept of pruning a tree in Machine Learning regression problems?
What is the concept of pruning a tree in Machine Learning regression problems? I am confused and a simple explanation would be great.
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What is Explainable AI and what does it strive for?
I understand the need for Explainability in AI. However, I am uncertain of what is meant by 'making AI explainable'.
What needs to be explainable? Is it the output of a model? Does it refer to the ...
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How to interpret Tom Mitchell's definition of machine learning?
I quote the well known definition:
A computer program is said to learn from experience E with respect to some class of tasks T and some performance measure P, if its performance on T, as measured by ...
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Why there are only three machine learning paradigms: supervised, unsupervised, reinforcement?
I read in books, blogs, and articles that there are three learning paradigms: supervised, unsupervised, and reinforcement.
However, I have never found a proof that this list is exhaustive. Can it be ...
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Is AI just a bunch of library functions?
Recently, I began reading more about AI and took a few basic courses to learn the basics of how it works. I also started a few projects involving AI, but get bored very quickly. To me, it feels like ...
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In a Recurrent Neural Network, what are the inputs to a node in a mutli-layer RNN?
I'm trying to work through a project where I'm writing my own RNN in C++ - not using any libraries. Basically I have an Input layer - 2 hidden layers - and then an output layer. In a given layer, each ...
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What is 'fairness' in machine learning?
How does one define the concept of fairness in machine learning? I've seen the term lots of times but never used it myself in research (1, 2). Is there a generally agreed-upon definition of fairness ...
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