Results 151 to 160 of about 32,711 (308)

Conic-Optimization Based Algorithms for Nonnegative Matrix Factorization [PDF]

, 2021
Valentin Leplat, Yurii Nesterov, Nicolas Gillis, François Glineur   +3 more
openalex   +1 more source

Distributional Cues in Construction Acquisition: A Comparative Study of Native and Nonnative English Speakers Using the As‐Predicative Construction

Language Learning, EarlyView.
Abstract This study investigates how distributional cues are integrated into the mental representation of the as‐predicative construction by English native and nonnative speakers, drawing on associative learning theory. We examined speakers’ constructional retrieval when given a verbal cue (Experiment 1) and their verb retrieval when given a ...
Ivana Domazetoska, Helen Zhao
wiley   +1 more source

Measure‐valued processes for energy markets

Mathematical Finance, Volume 35, Issue 2, Page 520-566, April 2025.
Abstract We introduce a framework that allows to employ (non‐negative) measure‐valued processes for energy market modeling, in particular for electricity and gas futures. Interpreting the process' spatial structure as time to maturity, we show how the Heath–Jarrow–Morton approach can be translated to this framework, thus guaranteeing arbitrage free ...
Christa Cuchiero, Luca Di Persio, Francesco Guida, Sara Svaluto‐Ferro   +3 more
wiley   +1 more source

Nonnegative Matrix Factorization [PDF]

, 2020
openaire   +2 more sources

Molecular classification of hormone-sensitive and castration-resistant prostate cancer, using nonnegative matrix factorization molecular subtyping of primary and metastatic specimens. [PDF]

Prostate, 2022
Yuen KC, Tran B, Anton A, Hamidi H, Costello AJ, Corcoran NM, Lawrentschuk N, Rainey N, Semira MCG, Gibbs P, Mariathasan S, Sandhu S, Kadel EE.   +12 more
europepmc   +1 more source

Accelerated Parallel and Distributed Algorithm using Limited Internal Memory for Nonnegative Matrix Factorization [PDF]

, 2015
DuyKhuong Nguyen, Tu-Bao Ho
openalex   +1 more source

On why cancer cells require a great amount of glucose

Quantitative Biology, Volume 14, Issue 2, June 2026.
Abstract The traditional thinking has been that cancer cells require a great amount of glucose to support their rapid growth, but the reality may be different. We have previously demonstrated that all cancer cells in The Cancer Genome Atlas harbor persistent Fenton reactions in their cytosol, which generate OH− ${\text{OH}}^{-}$ and ultimately kill the
Xuechen Mu, Aoran Liu, Rui Shi, Long Xu, Zhenyu Huang, Ye Zhang, Ying Xu   +6 more
wiley   +1 more source

Semantic Non-Negative Matrix Factorization for Term Extraction

Big Data and Cognitive Computing
This study introduces an unsupervised term extraction approach that combines non-negative matrix factorization (NMF) with word embeddings. Inspired by a pioneering semantic NMF method that employs regularization to jointly optimize document–word and word–
Aliya Nugumanova, Almas Alzhanov, Aiganym Mansurova, Kamilla Rakhymbek, Yerzhan Baiburin   +4 more
doaj   +1 more source

Secured Secret Sharing of QR Codes Based on Nonnegative Matrix Factorization and Regularized Super Resolution Convolutional Neural Network. [PDF]

Sensors (Basel), 2022
Velumani R, Sudalaimuthu H, Choudhary G, Bama S, Jose MV, Dragoni N.   +5 more
europepmc   +1 more source

Coordinating a bi‐level blood supply chain with interactions between supply‐side and demand‐side operational decisions

International Transactions in Operational Research, Volume 33, Issue 3, Page 1971-2015, May 2026.
Abstract In most blood supply chains, blood centers and hospitals make individual decisions, resulting in an inefficient structure of the blood supply chain, which in turn renders supply and demand matching a challenging exercise. In this work, we make the very first attempt to optimize the interaction between blood centers and hospitals.
Mohammad S. Moshtagh, Yun Zhou, Manish Verma   +2 more
wiley   +1 more source