Results 61 to 70 of about 84,282 (259)

k-Nearest Neighbor Curves in Imaging Data Classification

Frontiers in Applied Mathematics and Statistics, 2019
Background: Lung disease quantification via medical image analysis is classically difficult. We propose a method based on normalized nearest neighborhood distance classifications for comparing individual CT scan air-trapping distributions (representing ...
Yann Cabon, Yann Cabon, Carey Suehs, Carey Suehs, Sébastien Bommart, Sébastien Bommart, Isabelle Vachier, Isabelle Vachier, Gregory Marin, Arnaud Bourdin, Arnaud Bourdin, Nicolas Molinari, Nicolas Molinari   +12 more
doaj   +1 more source

Improving Prediction Performance of Dynamic Neighbor Selection in User-Based Collaborative Filtering

Sakarya University Journal of Computer and Information Sciences, 2020
Recommender systems have become more and more popular in online environments in recent years. Although different approaches are introduced to build a powerful recommender system, collaborative filtering is one of the most used approaches in the ...
Burcu Demirelli Okkalıoğlu
doaj   +1 more source

Secure k-ish Nearest Neighbors Classifier

Proceedings on Privacy Enhancing Technologies, 2020
Abstract The k-nearest neighbors (kNN) classifier predicts a class of a query, q, by taking the majority class of its k neighbors in an existing (already classified) database, S. In secure kNN, q and S are owned by two different parties and q is classified without sharing data.
Shaul, Hayim, Feldman, Dan, Rus, Daniela
openaire   +4 more sources

Directed evolution of enzymes at the crossroads of tradition and innovation

FEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova, Andrej Mirossay, Erik Sedlak   +2 more
wiley   +1 more source

Text intelligent classification model based on improved KNN algorithm in library service transformation

Systems and Soft Computing
With the development of the digital age, library services are facing the challenge of fast and accurate text classification. The traditional K-nearest neighbor algorithm is limited by low classification efficiency and high computational complexity when ...
Changjun Wang, Fengxia You, Yu Wang
doaj   +1 more source

Guiding AlphaFold to predict how Munc13‐1 opens Syntaxin‐1

FEBS Open Bio, EarlyView.
The syntaxin‐1 Habc‐domain (orange), linker (pink) and SNARE motif (yellow) form a closed conformation that binds to Munc18‐1 (violet) and is opened by the Munc13‐1 MUN domain (cyan) to form the SNARE complex that triggers neurotransmitter release.
Madhurima Chattopadhyay, Junjie Xu, Josep Rizo   +2 more
wiley   +1 more source

Information Retrieval Document Classified with K-Nearest Neighbor

Record and Library Journal, 2016
Along with the rapid advancement of technology development led to the amount of information available is also increasingly abundant. The aim of this study was to determine how the implementation of information retrieval system in the classification of ...
Badruz Zaman, Endah Purwanti, Alifian Sukma   +2 more
doaj   +1 more source

Kinetic Reverse k-Nearest Neighbor Problem [PDF]

, 2015
This paper provides the first solution to the kinetic reverse $k$-nearest neighbor (\rknn) problem in $\mathbb{R}^d$, which is defined as follows: Given a set $P$ of $n$ moving points in arbitrary but fixed dimension $d$, an integer $k$, and a query point $q\notin P$ at any time $t$, report all the points $p\in P$ for which $q$ is one of the $k ...
Zahed Rahmati, Valerie King, Sue Whitesides   +2 more
openaire   +2 more sources

Adenosine triphosphate as a modulator of protein interactions and stability

FEBS Open Bio, EarlyView.
ATP is best known as the cell's energy currency, but it also shapes how proteins fold, interact, aggregate and form biomolecular condensates. This review explains the emerging physical principles behind these effects, including weak binding to charged protein regions, magnesium‐dependent behaviour and concentration‐dependent control of protein ...
Shuyuan Tan, Robin Curtis
wiley   +1 more source

K-Nearest Neighbor and Weight K-Nearest Neighbor Classification of Cork Fish Using Gray-Level-Co-Occurrence Matrix Algorithm Approach

JOIV: International Journal on Informatics Visualization
Ornamental cork fish is a type of fish that is in great demand among the public as an ornamental fish. Ornamental cork fish have various types and colors; each variation has its own name and is a selling point among ornamental cork fish lovers.
Euis Nur Fitriani Dewi, Andi Nur Rachman, Rahmi Nur Shofa, Genta Nazwar Tarempa   +3 more
doaj   +1 more source