Results 61 to 70 of about 10,035,302 (334)

Text Filtering through Multi-Pattern Matching: A Case Study of Wu–Manber–Uy on the Language of Uyghur

open access: yesInformation, 2019
Given its generality in applications and its high time-efficiency on big data-sets, in recent years, the technique of text filtering through pattern matching has been attracting increasing attention from the field of information retrieval and Natural ...
Turdi Tohti   +3 more
doaj   +1 more source

An efficient long-text semantic retrieval approach via utilizing presentation learning on short-text

open access: yesComplex & Intelligent Systems, 2023
Although the short-text retrieval model by BERT achieves significant performance improvement, research on the efficiency and performance of long-text retrieval still faces challenges.
Junmei Wang   +2 more
doaj   +1 more source

Private Information Retrieval With Side Information [PDF]

open access: yesIEEE Transactions on Information Theory, 2017
We study the problem of Private Information Retrieval (PIR) in the presence of prior side information. The problem setup includes a database of $K$ independent messages possibly replicated on several servers, and a user that needs to retrieve one of ...
S. Kadhe   +4 more
semanticscholar   +1 more source

Elucidating prognostic significance of purine metabolism in colorectal cancer through integrating data from transcriptomic, immunohistochemical, and single‐cell RNA sequencing analysis

open access: yesMolecular Oncology, EarlyView.
Low expression of five purine metabolism‐related genes (ADSL, APRT, ADCY3, NME3, NME6) was correlated with poor survival in colorectal cancer. Immunohistochemistry analysis showed that low NME3 (early stage) and low ADSL/NME6 (late stage) levels were associated with high risk.
Sungyeon Kim   +8 more
wiley   +1 more source

Multi-Message Private Information Retrieval: Capacity Results and Near-Optimal Schemes [PDF]

open access: yesIEEE Transactions on Information Theory, 2017
We consider the problem of multi-message private information retrieval (MPIR) from $N$ non-communicating replicated databases. In MPIR, the user is interested in retrieving $P$ messages out of $M$ stored messages without leaking the identity of the
Karim A. Banawan, S. Ulukus
semanticscholar   +1 more source

Exploration of heterogeneity and recurrence signatures in hepatocellular carcinoma

open access: yesMolecular Oncology, EarlyView.
This study leveraged public datasets and integrative bioinformatic analysis to dissect malignant cell heterogeneity between relapsed and primary HCC, focusing on intercellular communication, differentiation status, metabolic activity, and transcriptomic profiles.
Wen‐Jing Wu   +15 more
wiley   +1 more source

Research Frontiers in Information Retrieval: Report from the Third Strategic Workshop on Information Retrieval in Lorne (SWIRL 2018)

open access: yesSIGF, 2018
The purpose of the Strategic Workshop in Information Retrieval in Lorne is to explore the long-range issues of the Information Retrieval field, to recognize challenges that are on - or even over - the horizon, to build consensus on some of the key ...
N. Kando   +8 more
semanticscholar   +1 more source

The Capacity of Robust Private Information Retrieval With Colluding Databases [PDF]

open access: yesIEEE Transactions on Information Theory, 2016
Private information retrieval (PIR) is the problem of retrieving as efficiently as possible, one out of $K$ messages from $N$ non-communicating replicated databases (each holds all $K$ messages) while keeping the identity of the desired message ...
Hua Sun, S. Jafar
semanticscholar   +1 more source

Accessibility in Information Retrieval [PDF]

open access: yes, 2008
This paper introduces the concept of accessibility from the field of transportation planning and adopts it within the context of Information Retrieval (IR). An analogy is drawn between the fields, which motivates the development of document accessibility measures for IR systems. Considering the accessibility of documents within a collection given an IR
Vishwa Vinay, Leif Azzopardi
openaire   +3 more sources

Comparing self‐reported race and genetic ancestry for identifying potential differentially methylated sites in endometrial cancer: insights from African ancestry proportions using machine learning models

open access: yesMolecular Oncology, EarlyView.
Integrating ancestry, differential methylation analysis, and machine learning, we identified robust epigenetic signature genes (ESGs) and Core‐ESGs in Black and White women with endometrial cancer. Core‐ESGs (namely APOBEC1 and PLEKHG5) methylation levels were significantly associated with survival, with tumors from high African ancestry (THA) showing ...
Huma Asif, J. Julie Kim
wiley   +1 more source

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