Results 121 to 130 of about 1,708,415 (229)

Using underapproximations for sparse nonnegative matrix factorization

, 2008
Nonnegative matrix factorization consists in (approximately) factorizing a nonnegative data matrix by the product of two low-rank nonnegative matrices. It has been successfully applied as a data analysis technique in numerous domains, e.g., text mining ...
François Glineur, Glineur, François, Nicolas Gillis, Gillis, Nicolas   +3 more
core   +1 more source

A Quantile Model of Firm Investment

International Economic Review, EarlyView.
ABSTRACT Are firms risk averse? We propose a dynamic model of firm investment under uncertainty that captures firms' risk attitudes through quantile preferences. The firm maximizes its present value, defined as current profits and investment plus the discounted value of the τ$\tau$‐quantile of its value next period.
Heitor Almeida, Murillo Campello, Luciano de Castro, Antonio F. Galvao   +3 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

Two-Dimensional Semi-Nonnegative Matrix Factorization for Clustering. [PDF]

Inf Sci (N Y), 2022
Peng C, Zhang Z, Chen C, Kang Z, Cheng Q.   +4 more
europepmc   +1 more source

Semi and weighted semi-nonnegative matrix factorization : comparative study [PDF]

, 2018
Orientador: Jacques WainerDissertação (mestrado) - Universidade Estadual de Campinas, Instituto de ComputaçãoResumo: Algoritmos que envolvem fatoração de matrizes tem sido objeto de intensos estudos nos anos recentes, gerando uma ampla variedade de ...
Melo, Eric Velten de, 1987-
core  

Accelerating Nonnegative Matrix Factorization Over Polynomial Signals With Faster Projections

, 2019
Nonnegative Matrix Factorization is a data analysis tool that aims at representing a set of input data vectors as nonnegative linear combinations of a few nonnegative basis vectors.
Hautecoeur, Cécile, Glineur, François, 2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP)   +2 more
core   +1 more source

Debt Aversion: Theory and Measurement

International Economic Review, EarlyView.
ABSTRACT We propose a model of debt aversion and conduct an experiment with real debt and saving contracts to jointly elicit debt aversion and preferences over time, risk, and intertemporal losses. We find that 89% of participants are debt averse, which strongly influences their choices.
David Albrecht, Thomas Meissner
wiley   +1 more source

Enhanced Extraction of Blood and Tissue Time-Activity Curves in Cardiac Mouse FDG PET Imaging by Means of Constrained Nonnegative Matrix Factorization. [PDF]

Int J Biomed Imaging, 2023
Sarrhini O, D'Orléans-Juste P, Rousseau JA, Beaudoin JF, Lecomte R.   +4 more
europepmc   +1 more source

Descent methods for nonnegative matrix factorization

, 2011
In this paper, we present several descent methods that can be applied to nonnegative matrix factorization and we analyze a recently developped fast block coordinate method called Rank-one Residue Iteration (RRI).
Blondel, Vincent, Ngoc-Diep Ho, Vincent D. Blondel, Paul Van Dooren, Van Dooren, Paul, Ho, Ngoc Diep   +5 more
core   +1 more source

Estimating Velocities of Infectious Disease Spread Through Spatio‐Temporal Log‐Gaussian Cox Point Processes

International Statistical Review, EarlyView.
Summary Understanding the spread of infectious diseases such as COVID‐19 is crucial for informed decision‐making and resource allocation. A critical component of disease behaviour is the velocity with which disease spreads, defined as the rate of change between time and space.
Fernando Rodriguez Avellaneda, Jorge Mateu, Paula Moraga   +2 more
wiley   +1 more source