Results 111 to 120 of about 5,009,345 (348)

An Algebraic Approach to Knowledge Bases Informational Equivalence [PDF]

open access: yesarXiv, 2003
In this paper we study the notion of knowledge from the positions of universal algebra and algebraic logic. We consider first order knowledge which is based on first order logic. We define categories of knowledge and knowledge bases. These notions are defined for the fixed subject of knowledge.
arxiv  

Knowledge-based fault localization in debugging [PDF]

open access: bronze, 1983
Robert L. Sedlmeyer   +2 more
openalex   +3 more sources

Unlocking the potential of tumor‐derived DNA in urine for cancer detection: methodological challenges and opportunities

open access: yesMolecular Oncology, EarlyView.
Urine is a rich source of biomarkers for cancer detection. Tumor‐derived material is released into the bloodstream and transported to the urine. Urine can easily be collected from individuals, allowing non‐invasive cancer detection. This review discusses the rationale behind urine‐based cancer detection and its potential for cancer diagnostics ...
Birgit M. M. Wever   +1 more
wiley   +1 more source

Knowledge Transfer for Out-of-Knowledge-Base Entities: A Graph Neural Network Approach

open access: yes, 2017
Knowledge base completion (KBC) aims to predict missing information in a knowledge base.In this paper, we address the out-of-knowledge-base (OOKB) entity problem in KBC:how to answer queries concerning test entities not observed at training time ...
Hamaguchi, Takuo   +3 more
core   +1 more source

Subpar reporting of pre‐analytical variables in RNA‐focused blood plasma studies

open access: yesMolecular Oncology, EarlyView.
Pre‐analytical variables strongly influence the analysis of extracellular RNA (cell‐free RNA; exRNA) derived from blood plasma. Their reporting is essential to allow interpretation and replication of results. By evaluating 200 exRNA studies, we pinpoint a lack of reporting pre‐analytical variables associated with blood collection, plasma preparation ...
Céleste Van Der Schueren   +16 more
wiley   +1 more source

A knowledge base architecture for distributed knowledge agents [PDF]

open access: yes
A tuple space based object oriented model for knowledge base representation and interpretation is presented. An architecture for managing distributed knowledge agents is then implemented within the model.
Riedesel, Joel, Walls, Bryan
core   +1 more source

Improved Neural Relation Detection for Knowledge Base Question Answering

open access: yes, 2017
Relation detection is a core component for many NLP applications including Knowledge Base Question Answering (KBQA). In this paper, we propose a hierarchical recurrent neural network enhanced by residual learning that detects KB relations given an input ...
Hasan, Kazi Saidul   +5 more
core   +1 more source

Surfaceome: a new era in the discovery of immune evasion mechanisms of circulating tumor cells

open access: yesMolecular Oncology, EarlyView.
In the era of immunotherapies, many patients either do not respond or eventually develop resistance. We propose to pave the way for proteomic analysis of surface‐expressed proteins called surfaceome, of circulating tumor cells. This approach seeks to identify immune evasion mechanisms and discover potential therapeutic targets. Circulating tumor cells (
Doryan Masmoudi   +3 more
wiley   +1 more source

An extended description logic system with knowledge element based on ALC [PDF]

open access: yesarXiv, 2019
With the rise of knowledge management and knowledge economy, the knowledge elements that directly link and embody the knowledge system have become the research focus and hotspot in certain areas. The existing knowledge element representation methods are limited in functions to deal with the formality, logic and reasoning. Based on description logic ALC
arxiv  

Soft Computing Optimizer For Intelligent Control Systems Design: The Structure And Applications [PDF]

open access: yesJournal of Systemics, Cybernetics and Informatics, 2003
Soft Computing Optimizer (SCO) as a new software tool for design of robust intelligent control systems is described. It is based on the hybrid methodology of soft computing and stochastic simulation.
Sergey A. Panfilov   +6 more
doaj  

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