Titlebook: Artificial Intelligence Logic and Applications; The 3rd Internationa Songmao Zhang,Yonggang Zhang Conference proceedings 2023 The Editor(s)

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NATAL

FDDKT:A Novel Knowledge Tracing Method by?Fusing Difficulty and?Discrimination for?Intelligent Educarich information. We calculate the questoin difficulty and discrimination respectively through the existing datasets, and embed them into the representation, and then we integrate them through a linear layer to process the features. In addition, we use a monotonic attention mechanism to connect the

必死

Comparison and Implementation of ROS-Based SLAM and Path Planning Methodsults, the optimal combination for navigation can be obtained. Based on the experimental results, a basic service platform for SLAM and path planning based on ROS was developed, which provides further services for subsequent work.

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prodrome

4-D (Time Lapse 3-D) Seismic Surveys,usters (i.e., the object has the feature of multiple clusters). The experimental result shows that the proposed multi-view fuzzy clustering method achieves better performance than several related clustering methods.

嘴唇可修剪

A Pedagogical Model For Guided Inquiry, vanilla prediction model to obtain similarities between visit contexts and extend visit records by referencing similar visit contexts in the training dataset. Our experiments show that the proposed model performs better than the current state-of-the-art in diagnostic prediction.

杠桿

Michael D. Max,Arthur H. Johnsontion, the triangular modulus interval implication, the S-interval implication and the QL-interval implication. It is observed that the α-UTI algorithm has good interval perturbation performance for single rule or multi-rules, in which unified interval implications are employed.

技術(shù)

A Novel Multi-view Fuzzy Clustering Algorithm Based on?Fuzzy C-Meansusters (i.e., the object has the feature of multiple clusters). The experimental result shows that the proposed multi-view fuzzy clustering method achieves better performance than several related clustering methods.

landfill

Graph-Based Diagnostic Prediction Model Based on?Global Visit Contexts vanilla prediction model to obtain similarities between visit contexts and extend visit records by referencing similar visit contexts in the training dataset. Our experiments show that the proposed model performs better than the current state-of-the-art in diagnostic prediction.

ONYM

On Interval Perturbation of the α-Universal Triple I Algorithm for Unified Interval Implicationstion, the triangular modulus interval implication, the S-interval implication and the QL-interval implication. It is observed that the α-UTI algorithm has good interval perturbation performance for single rule or multi-rules, in which unified interval implications are employed.