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Advanced Search Results For "KNOWLEDGE representation (Information theory)"

1 - 10 of 5,187 results for
 "KNOWLEDGE representation (Information theory)"
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Knowledge Tracing via Attention Enhanced Encoder-Decoder.

Publication Type: Academic Journal

Source(s): Computational Intelligence & Neuroscience. 12/17/2022, p1-12. 12p.

Abstract: The knowledge tracing model takes students' learning behaviours data as input to determine their current knowledge status and predict their future answers. The learning behaviours data describes three main types of learning behaviours: learning process...

An Intelligent Tree Extractive Text Summarization Deep Learning.

Publication Type: Academic Journal

Source(s): Computers, Materials & Continua. 2022, Vol. 73 Issue 2, p4231-4244. 14p.

Abstract: In recent research, deep learning algorithms have presented effective representation learning models for natural languages. The deep learningbasedmodels create better data representation than classicalmodels. They are capable of automated extraction of...

Personalized Intelligent Syndrome Differentiation Guided By TCM Consultation Philosophy.

Publication Type: Academic Journal

Source(s): Journal of Healthcare Engineering. 11/7/2022, p1-11. 11p.

Abstract: Traditional Chinese Medicine (TCM) is one of the oldest medical systems in the world, and inquiry is an essential part of TCM diagnosis. The development of artificial intelligence has led to the proposal of several computational TCM diagnostic methods....

Ontology Based Ocean Knowledge Representation for Semantic Information Retrieval.

Publication Type: Academic Journal

Source(s): Computers, Materials & Continua. 2022, Vol. 70 Issue 3, p4707-4724. 18p.

Abstract: t: The drastic growth of coastal observation sensors results in copious data that provide weather information. The intricacies in sensor-generated big data are heterogeneity and interpretation, driving high-end Information Retrieval (IR) systems. The S...

On weak filters and ultrafilters: Set theory from (and for) knowledge representation.

Publication Type: Academic Journal

Source(s): Logic Journal of the IGPL. Feb2023, Vol. 31 Issue 1, p68-95. 28p.

Abstract: Weak filters were introduced by K. Schlechta in the '90s with the aim of interpreting defaults via a generalized ' most ' quantifier in first-order logic. They arguably represent the largest class of structures that qualify as a ' collection of large s...

A Review on the Application of Knowledge Graph Technology in the Medical Field.

Publication Type: Academic Journal

Source(s): Scientific Programming. 7/20/2022, p1-12. 12p.


Abstract: With the continuous development of Internet technology, knowledge graph construction has received increasing attention. Extracting useful medical knowledge from massive data is the key to analyzing big medical data. The knowledge graph is a semantic ne...

TransO: a knowledge-driven representation learning method with ontology information constraints.

Publication Type: Academic Journal

Source(s): World Wide Web. Jan2023, Vol. 26 Issue 1, p297-319. 23p.

Abstract: Representation learning techniques for knowledge graphs (KGs) are crucial for constructing knowledge-driven decisions in complex network data application scenarios. Most existing methods focus mainly on structured information, ignoring the important va...

A Deep Learning Model Incorporating Knowledge Representation Vectors and Its Application in Diabetes Prediction.

Publication Type: Academic Journal

Source(s): Disease Markers. 8/12/2022, p1-17. 17p.

Abstract: The deep learning methods for various disease prediction tasks have become very effective and even surpass human experts. However, the lack of interpretability and medical expertise limits its clinical application. This paper combines knowledge represe...

Deep Learning Classification Model for English Translation Styles Introducing Attention Mechanism.

Publication Type: Academic Journal

Source(s): Mathematical Problems in Engineering. 3/26/2022, p1-10. 10p.


Abstract: Both short-distance association knowledge and long-distance interaction knowledge in the knowledge base contain rich semantics. When learning entity and relation representation in a knowledge base, if we can learn short-distance association knowledge a...

Proliferation of Cyber Situational Awareness: Today's Truly Pervasive Drive of Cybersecurity.

Publication Type: Academic Journal

Source(s): Security & Communication Networks. 2/26/2022, p1-16. 16p.

Abstract: Situation awareness (SA) issues necessitate a comprehension of present activities, the ability to forecast, what will happen next, and strategies to assess the threat or impact of current internet activities and projections. These SA procedures are uni...