Results 41 to 50 of about 1,003,291 (283)

Hyper-parameter Tuning for Quantum Support Vector Machine

Advances in Electrical and Computer Engineering, 2022
In recent years, the positive effect of quantum techniques on machine learning methods have been studied. Especially in training big data, quantum computing is beneficial in terms of speed.
DEMIRTAS, F., TANYILDIZI, E.
doaj   +1 more source

Machine learning technique for morphological classification of galaxies at z<0.1 from the SDSS

, 2020
Methods. We used different galaxy classification techniques: human labeling, multi-photometry diagrams, Naive Bayes, Logistic Regression, Support Vector Machine, Random Forest, k-Nearest Neighbors, and k-fold validation. Results.
Dobrycheva, D. V., Elyiv, A. A., Khramtsov, V., Melnyk, O. V., Vasylenko, M. Yu., Vavilova, I. B.   +5 more
core   +1 more source

pH‐mediated activation of the lysosomal arginine sensor SLC38A9

FEBS Letters, EarlyView.
Cells monitor nutrient levels via the lysosomal transporter SLC38A9 to activate the mechanistic target of rapamycin complex 1 (mTORC1). This study reveals that SLC38A9 function is regulated by pH. We identified histidine 544 as a critical pH sensor that undergoes conformational changes to control amino acid efflux from lysosomes; therefore, it ...
Xuelang Mu, Ampon Sae Her, Tamir Gonen
wiley   +1 more source

Mean field variational Bayesian inference for support vector machine classification [PDF]

, 2013
A mean field variational Bayes approach to support vector machines (SVMs) using the latent variable representation on Polson & Scott (2012) is presented.
Luts, Jan, Ormerod, John T.
core   +2 more sources

Genetic attenuation of ALDH1A1 increases metastatic potential and aggressiveness in colorectal cancer

Molecular Oncology, EarlyView.
Aldehyde dehydrogenase 1A1 (ALDH1A1) is a cancer stem cell marker in several malignancies. We established a novel epithelial cell line from rectal adenocarcinoma with unique overexpression of this enzyme. Genetic attenuation of ALDH1A1 led to increased invasive capacity and metastatic potential, the inhibition of proliferation activity, and ultimately ...
Martina Poturnajova, Zuzana Kozovska, Ondrej Pos, Kristina Pavlov, Sachin Gulati, Peter Makovicky, Kristina Jakic, Monika Burikova, Eva Sedlackova, Barbora Svitkova, Silvia Tyciakova, Vojtech Bystry, Nicolas Blavet, Boris Tichy, Matej Hrnciar, Jaroslav Budis, Miroslav Tomas, Peter Dubovan, Georgina Kolnikova, Veronika Repaska, Nikoleta Mojzesova, Eva Zomborska, Daniel Pindak, Michal Mego, Tomas Szemes, Miroslava Matuskova   +25 more
wiley   +1 more source

A novel deformation forecasting method utilizing comprehensive observation data

Advances in Mechanical Engineering, 2018
Mine disasters often happen unpredictably and it is necessary to find an effective deformation forecasting method. A model between deformation data and the factors data that affected deformation is built in this study.
Sunwen Du, Yao Li
doaj   +1 more source

Hierarchical linear support vector machine [PDF]

, 2012
This is the author’s version of a work that was accepted for publication in Pattern Recognition. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not
Huerta, Ramón, Rodríguez-Luján, Irene, Santa Cruz, Carlos   +2 more
core   +2 more sources

Network divergence analysis identifies adaptive gene modules and two orthogonal vulnerability axes in pancreatic cancer

Molecular Oncology, EarlyView.
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson, Lyanne Delgado‐Coka, Natalia Marchenko, Luisa F. Escobar‐Hoyos, Kenneth R. Shroyer, Alisa Yurovsky, Trey Ideker, Gábor Balázsi, Thomas MacCarthy, Scott Powers   +9 more
wiley   +1 more source

KLASIFIKASI UCAPAN KATA DENGAN SUPPORT VECTOR MACHINE

Jurnal Masyarakat Informatika, 2012
Menurut Undang-Undang No 32 Tahun 2002, Peraturan Komisi Penyiaran Indonesia No 02/P/KPI/12/2009 tentang Pedoman Perilaku Penyiaran dan Peraturan Komisi Penyiaran Indonesia No 03/P/KPI/12/2009 tentang Standar Program Siaran, diantaranya disebutkan bahwa ...
Sukmawati Nur Endah, Dinar Mutiara KN
doaj   +1 more source

Predicting Pancreatic Cancer Using Support Vector Machine [PDF]

, 2017
This report presents an approach to predict pancreatic cancer using Support Vector Machine Classification algorithm. The research objective of this project it to predict pancreatic cancer on just genomic, just clinical and combination of genomic and ...
Bodkhe, Akshay
core   +1 more source