Questions tagged [algorithm]
For questions about algorithm's that exhibit characteristics of intelligence, or are critical components in systems that exhibit intelligence, and problem-solving and goal-based algorithms in general.
137 questions
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What are the best Python library to implementation neural network modification algorithms? [closed]
I want to implement in python some algorithms from a paper that allow for a pre-trained neural network to be modified (adding or removing neurons or layers) conserving (theoretically) the outputs of ...
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Is this formal approach to verifying AI reasoning consistency methodologically sound?
I'm working on a formal protocol called FPC v2.1 for verifying AI reasoning integrity. As a system analyst (not a professional AI researcher), I want to validate whether this approach has fundamental ...
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How do you build a neural network that never loses at Tic-Tac-To?
I am trying to create a neural network that does not lose at 4x4 Tic-Tac-Toe as crosses.
I've easily managed to make my neural network IMPROVE it's play over time (aka lose less) but haven't managed ...
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How to compute local text orientation and interline distance for curved baselines in ARU-Net (Algorithm S.1)?
I'm implementing Algorithm S.1 (Pixel Ground Truth Generation) from the ARU-Net paper by Grüner et al., but I'm having trouble understanding a few key steps in the context of non-linear (curved) ...
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Can self-balancing AI models be designed using fractal patterns and Taoist equilibrium principles?
I'm investigating an alternative AI decision-making framework that draws inspiration from Taoist philosophy, fractal intelligence, and adaptive feedback loops. Unlike traditional AI models that depend ...
user92640
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State machine path classification
I have complex state machine(hundreds of states). I have training sample of paths through the state machine. Each path is associated with integer number(tens of values) based on complex empirical ...
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Has deep learning discovered new algorithms?
Has deep learning discovered any heretofore unknown algorithms?
Goodfellow et al. give an example of learning XOR, and the Universal Approximation Theorem seems to imply that deep learning might be ...
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Is a evolutionary algorithm suitable as an alternative for this method?
I found this algorithm in a paper and want to use it, but when the number of sources are more then this approach will have a high computation time. If K_{^}= 10, ...
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Is the quality of generative model outputs affected by the quality of their PRNGs?
There are newer PRNGs like xoshiro/xoroshiro that have better quality than Mersenne Twister or WELL in a way that they pass statistical tests. Is the use of a better PRNG algorithm crucial to improve ...
user88306
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Creating a Dynamic Heat Map for Multi-Agent Path Planning
I’m working on a system where agents must move scattered objects (aggregates) from various locations (cells) to a target zone. The environment is divided into a grid of cells, where each cell contains ...
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What is the difference between Machine Learning model, algorithm and hypothesis?
I'm fairly new to Machine Learning field and still to grasp the basics, so this question may seem very stupid, but what is the difference between Machine Learning model, algorithm and hypothesis?
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How is speech recognition software able to distinguish between different speakers and yet still understand them all?
Some background: I'm an EE major and data science minor, so I have a basic understanding of machine learning - I had a one semester course on it where we covered some of the most commonly used ...
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What programming language do I learn if I want to become artificial intelligence engineer? [closed]
I would become artificial intelligence engineer in the future, so I want to start programming but I don't know what programming language I start for that.
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Pedestrian/Object detection
Today automobiles have many kinds of detection systems and I'm currently researching one on Pedestrian Detection systems.
I haven't figured exactly out the difference between these three systems. If ...
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Is there a term to denote AI algorithms that are not trained?
Before the advent of neural architectures, many AI domains (e.g. speech recognition and computer vision) used algorithms that consisted of a series of hand-crafted transformations for feature ...
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