MUMP
发表于 2025-3-26 21:41:39
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Culmination
发表于 2025-3-27 02:17:36
A Logical Model of Communication Channelsns arise about the nature of such a statement as well as about the attitude of the agent herself in doing these announcements. Does the agent know whether the statement is true? Is this agent announcing that statement or its opposite in any other channel? Extensions to Dynamic Epistemic Logics have
Barrister
发表于 2025-3-27 05:36:44
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MAG
发表于 2025-3-27 09:44:43
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Supplement
发表于 2025-3-27 16:36:01
Recursive Binary Tube Partitioning for Classificationcision tree built using a recursive partitioning algorithm. This paper applies the recursive partitioning technique based on the series of tubes. A tube is identified from three information; 1) a core vector, 2) a tube length and 3) a tube radius. The first component is the core vector generated by
哺乳动物
发表于 2025-3-27 21:36:54
Extreme-Centroid Tree for Outlier Detection In the real-world datasets, the majority data points normally line up into patterns that can be captured by some models. In this paper, we propose the new outlier detection algorithm based on the dynamically updated tree model. It composes of two-step processes (1) constructing the extreme-centroid
使声音降低
发表于 2025-3-28 00:18:19
Gaussian Fuzzy Integral Based Classificationjection is along with a group of linear lines. In reality, data distribution is not regular, so the straight line for projection is too limited. Gaussian function is applied to natural science widely. It is close to normal distribution and can cover more data. In this article, a new generalization o
混沌
发表于 2025-3-28 06:02:50
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收养
发表于 2025-3-28 07:13:06
Prediction of Student Dropout Using Personal Profile and Data Mining Approachedicting dropout occurences with the first-year students and determine the factors behind these cases. Despite several classification techniques being made available in the literature, the current study focuses on using decision trees and rule induction models to discover knowledge from data of stud
left-ventricle
发表于 2025-3-28 11:35:19
The Optimization of Parallel DBN Based on Sparkneck problem when training DBN in a single computational node. And traditional parallel full-batch gradient descent exists the problem that the speed of convergence is slow when we use it to train DBN. To solve this problem, the article proposes a parallel mini-batch gradient descent algorithm based