The integration of Unmanned Aerial Vehicles (UAVs) and satellite technologies is expected to play a critical role in the 6G wide-area communication infrastructure. This infras-tructure can be used to advance applicati...
详细信息
Unmanned Aerial vehicles (UAV) are high-speed moving machines that attained rapid growth in various activities and are considered an integral component in the Satellite-Air -Ground-Sea (SAGS) incorporated network. How...
详细信息
Degree reduction of ball Said-Ball (BSB) surface is a complex and unsolved problem in computer-aided design (CAD) and computer graphics (CG), which has potential application prospects in many engineering fields of geo...
详细信息
Learning the community structure of a large-scale graph is a fundamental problem in machine learning, computerscience and statistics. Among others, the Stochastic Block Model (SBM) serves a canonical model for commun...
详细信息
Chargeback fraud, commonly known as friendly fraud, is committed intentionally or unintentionally by consumers who make online transactions using their credit card and later dispute the charge with the credit card com...
详细信息
The Sunway family supercomputers have achieved a series of remarkable achievements. However, the toolchains provided by them are not perfect, which has brought great challenges to the development of high-performance a...
详细信息
In the 1950s, Benjamin Bloom and his associates introduced Bloom’s Taxonomy, a foundational framework for categorizing learning objectives and cognitive skills. While question classification typically operates at a f...
详细信息
ISBN:
(纸本)9783031699856
In the 1950s, Benjamin Bloom and his associates introduced Bloom’s Taxonomy, a foundational framework for categorizing learning objectives and cognitive skills. While question classification typically operates at a fine level, such as sentences and phrases, and text classification focuses on the document level, past research has explored the intersection of question classification and Bloom’s Taxonomy to assess learners’ cognitive levels in higher education. However, existing feature types from previous studies may excel in datasets with narrowly focused queries, necessitating the development of multiple classifiers for diverse fields or areas. To address this, A new kind of feature called "taxonomy-based" is suggested to improve the accuracy of question classification in datasets from different fields. Utilizing datasets comprising questions from distinct topics, the study evaluates the effectiveness of taxonomy-based features. Support vector machines (SVMs) are chosen as the classifier for their reputed text classification accuracy. The research reveals that taxonomy-based features significantly improve classifier performance when applied to question sets from different domains. This effort is driven by the need to improve question categorization accuracy over a variety of datasets and the realization of Bloom’s Taxonomy’s continuing use in educational settings. Although Bloom’s Taxonomy offers an extensive framework for comprehending cognitive abilities and learning objectives, current question classification techniques frequently do not have the granularity necessary to fully utilize this taxonomy. Furthermore, prior work has mostly concentrated on fine-level categorization, ignoring the advantages of integrating Bloom’s Taxonomy into the classification procedure. The highest accuracy achieved using SVM with TF-IDF vectorizer is 74.17% for BCL’s Data set and 95.23% for BT Dataset. Employing the KNN algorithm with the TF-IDF vectorizer yields 59.17% accuracy for
The Budget-based Neighboring Object Group Query (BR-NOGQ) is a novel type of location-based query that considers both the spatial relationships between objects and the user's budget constraints on experiencing the...
详细信息
The rapid evolution of information sharing and portable device technologies has led to a drastic increase in the number of smart devices, which helps in enhancing the level of comfort and intelligence in every househo...
详细信息
Machine learning is a trending topic in the area of computer vision, which makes the machine able to learn about it without being expressly programmed using various algorithms. When a model is designed to predict futu...
详细信息
暂无评论