| viXra.org > Artificial Intelligence > 2210 |
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| viXra.org > Artificial Intelligence > 2210 |
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[4] viXra:2210.0134 [pdf] submitted on 2022-10-26 06:00:53
Authors: Matthew Groom
Comments: 4 Pages.
This paper will address the meaning and purpose of sleep by combining several factors. This combination will also answer another of the greatest mysteries of humanity, where did we originate, surface or deep-sea vent.I have included how Artificial Intelligence, the Brain, Sentience is derived from sleep.
Category: Artificial Intelligence
[3] viXra:2210.0130 [pdf] submitted on 2022-10-26 10:02:37
Authors: Nedya Farisia, Yova Ruldeviyani, Eko Kuswardono Budiardjo
Comments: 10 Pages.
Social media is growing rapidly at the moment and provide convenience to communicate. But such convenience widely misused to treat other people with not decent before the entire internet community commonly called cyberbullying. If cyberbullying fail to prevent, it will be difficult to track down and deal with it. One of the main weapons to prevent acts of cyberbullying is to perform detection on social media. Detection of cyberbullying can be done by determining whether a post offend the sensitive topic of a personal nature such as racist or not. By determining the related words such sensitive topics and filter sentiment, cyberbullying tweet detection is done by using the method of classification Hyperpipes, Tree-based J48, and SVM. The results show that the algorithm hyperpipes and decision tree produces the best evaluation results with the accuracy of 85.32% and 86.24%.
Category: Artificial Intelligence
[2] viXra:2210.0120 [pdf] replaced on 2023-06-13 14:52:20
Authors: Dimiter Dobrev
Comments: 28 Pages. English and Bulgarian languages
We will consider all policies of the agent and will prove that one of them is the best performing policy. While that policy is not computable, computable policies do exist in its proximity. We will define AI as a computable policy which is sufficiently proximal to the best performing policy. Before we can define the agent’s best performing policy, we need a language for description of the world. We will also use this language to develop a program which satisfies the AI definition. The program will first understand the world by describing it in the selected language. The program will then use the description in order to predict the future and select the best possible move. While this program is extremely inefficient and practically unusable, it can be improved by refining both the language for description of the world and the algorithm used to predict the future. This can yield a program which is both efficient and consistent with the AI definition.
Category: Artificial Intelligence
[1] viXra:2210.0089 [pdf] submitted on 2022-10-20 01:40:39
Authors: Mikolaj Sitarz
Comments: 13 Pages.
This article explores the extension of well-known F1 score used for assessing the performance of binary classifiers. We propose the new metric using probabilistic interpretation of precision, recall, specifcity, and negative predictive value. We describe its properties and compare it to common metrics. Then we demonstrate its behavior in edge cases of the confusion matrix. Finally, the properties of the metric are tested on binary classifier trained on the real dataset.
Category: Artificial Intelligence
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