Results 121 to 130 of about 45,107 (150)

Emotion Recognition Using Q-KNN: A Faster KNN Approach

2020
Emotion recognition is the most relevant field in human–machine interaction. In this paper, primary emotions are recognized as these form the base for secondary emotions. This paper performs emotion recognition by experimenting on the existing classifier K-nearest neighbor (KNN) by adding a quantization layer in its architecture to decrease its ...
Preeti Kapoor, Narina Thakur
openaire   +1 more source

Strain induced giant magnetoelectric coupling in KNN/Metglas/KNN sandwich multilayers

Applied Physics Letters, 2017
A lead-free magnetoelectric composite with sandwich layers of K0.5Na0.5NbO3 (KNN)/Co76Fe14Ni4Si5B (Metglas)/KNN is fabricated as a cantilever and it is characterized for its magnetic, ferroelectric, and magnetoelectric properties. Giant magnetoelectric (ME) coupling is recorded under both resonant and sub resonant conditions and the data are presented ...
C. S. Chitra Lekha, Ajith S. Kumar, S. Vivek, M. R. Anantharaman, K. Venkata Saravanan, Swapna S. Nair   +5 more
openaire   +1 more source

The kNN Model

2021
In this chapter, you will discover the kNN model. The kNN model is the third supervised machine learning model that is covered in this book. Like the two previous models, the kNN model is also one of the simpler models. It is also intuitively easy to understand how the model works.
openaire   +1 more source

$\bar KNN$ RESONANCE $\bar KNN - \pi YN$ COUPLED CHANNEL FADDEEV EQUATION

Modern Physics Letters A, 2009
The three-body resonance of [Formula: see text] system is investigated by using the [Formula: see text] coupled channels Faddeev equation. The resonance energy is determined from the pole of S -matrix on the unphysical sheet. It is found that the pole positions of the predicted amplitudes are significantly modified when the three-body dynamics is ...
T. SATO, Y. IKEDA
openaire   +1 more source

Distributed kNN Query Authentication

2018 19th IEEE International Conference on Mobile Data Management (MDM), 2018
With the prevalence of location-based services and geo-functioned devices, the trend of spatial data outsourcing is rising. In the data outsourcing scenario, result integrity must be ensured by means of a query authentication scheme. However, most of the existing studies are confined to a centralized environment. In this paper, we investigate the query
Ce Zhang, Cheng Xu, Jianliang Xu, Byron Choi   +3 more
openaire   +1 more source

Combining One Class Fuzzy KNN’s

2007
This paper introduces a parallel combination of N> 2 one class fuzzy KNN(FKNN) classifiers. The classifier combination consists of a new optimization procedure based on a genetic algorithm applied to FKNN's, that differ in the kind of similarity used.
DI GESU', Vito, LO BOSCO, Giosue'
openaire   +1 more source

Cost-sensitive KNN classification

Neurocomputing, 2020
Abstract KNN (K Nearest Neighbors) classification is one of top-10 data mining algorithms. It is significant to extend KNN classifiers sensitive to costs for imbalanced data classification applications. This paper designs two efficient cost-sensitive KNN classification models, referred to Direct-CS-KNN classifier and Distance-CS-KNN classifier.
openaire   +1 more source

Regelungstechnische Anwendungen von KNN

1998
Die ersten Beispiele von Anwendungen Kunstlicher Neuronaler Netze (KNN) in der Regelungstechnik wurden bereits Mitte der sechziger Jahre bekannt.
Serge Zakharian, Patricia Ladewig-Riebler, Stefan Thoer   +2 more
openaire   +1 more source

???????????? ???? ?????????? ???????????? ?????????????? ???????????? ???????????????????????? kNN ????????????????????????????

2010
???????????????????????? ???????????? ???????????????????? ?????????????? ???????????? ?????????????????????? ??????????????????????????, ???? ?????? ???????????????????? ?????????????????????????????? ???? ?????? ?????????? ???????????????? ?????????? ??????????????. ???????????? ???????????????????? ???????????????????? ?????????????????? ????????????
openaire   +1 more source

Einsatz von KNN

1998
Die Feststellung von Rehkugler & Zimmermann (1994), das die ... Anzahl der empirischen Studien am Aktienmarkt wie auch auf anderen Kapitalmarkten, die dem Problem des Overlearning mittels der dargestellten Optimierungsmethodik Rechnung tragen, [...] bis dato gering ist, last sich damit begrunden, das es allgemein keine empirische Validierung von KNN ...
openaire   +1 more source