Results 101 to 110 of about 1,708,415 (229)
A flexible R package for nonnegative matrix factorization
BMC Bioinformatics, 2010 Background Nonnegative Matrix Factorization (NMF) is an unsupervised learning technique that has been applied successfully in several fields, including signal processing, face recognition and text mining. Recent applications of NMF in bioinformatics have
Seoighe Cathal, Gaujoux Renaud
doaj +1 more source
Uncertainty and Contract Choice in Two‐Tier Labor Markets
Southern Economic Journal, EarlyView.ABSTRACT We develop a search‐and‐matching model in which firms choose between one‐period temporary contracts and open‐ended permanent contracts after observing persistent match quality. Permanent jobs retain valuable matches by lowering effective job‐to‐job turnover, but expose firms to firing costs; temporary jobs permit costless non‐renewal and can ...
Shutao Cao, Enchuan Shao, Pedro Silos
wiley +1 more source
Boosted unsupervised feature selection for tumor gene expression profiles
CAAI Transactions on Intelligence Technology, EarlyView.Abstract In an unsupervised scenario, it is challenging but essential to eliminate noise and redundant features for tumour gene expression profiles. However, the current unsupervised feature selection methods treat all samples equally, which tend to learn discriminative features from simple samples.
Yifan Shi +5 more
wiley +1 more source
NONNEGATIVE MATRIX FACTORIZATION
, 2013 The purpose of this project was to study the nonnegative matrix factorization (NNMF) problem: Given a nonnegative matrix V, find the” best” nonnegative matrices W and H, such that V WH.
Humpherys, Dr. Jeffrey +1 more
core
Highly Configurable Evolutionary Multi‐Objective Optimisation and Application in UAV Path Planning
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Multi‐objective optimisation is crucial in engineering and real‐world decision‐making. Although traditional decomposition‐based approaches such as MOEA/D yield reasonable results, they depend heavily on expert knowledge. Existing MetaBBO approaches partially alleviate this reliance, however, they offer limited configurability and lack real ...
Kaixu Chen +4 more
wiley +1 more source
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT As urban sound environments grow more complex, environmental monitoring increasingly demands not just sound‐level measurement but also source attribution. Current source recognition techniques can identify which sources are present in a mixture, but cannot measure each source's energy contribution, making accountability impossible.
Rui Hu, Zhihao Wu, Yuxin Lin, Yong Xu
wiley +1 more source
Graph‐Laplacian modeling of spatiotemporal effects for house price estimation
Real Estate Economics, EarlyView.Abstract Many variables involve the modeling of spatial effects, and their dynamics over time. This article presents a linear model in which spatiotemporal random effects are modeled by graph‐Laplacians. A graph‐Laplacian flexibly encodes adjacency in both space and time, in our case not depending on unknown parameters. The graph‐Laplacian can be input
Willem P Sijp, Marc K. Francke
wiley +1 more source
Robust Structure Preserving Nonnegative Matrix Factorization for Dimensionality Reduction
, 2016 As a linear dimensionality reduction method, nonnegative matrix factorization (NMF) has been widely used in many fields, such as machine learning and data mining.
Li BF(李冰锋) +2 more
core
Semi-Supervised Nonnegative Matrix Factorization
, 2010 Nonnegative matrix factorization (NMF) is a popular method for low-rank approximation of nonnegative matrix, providing a useful tool for representation learning that is valuable for clustering and classification.
Yoo, J +5 more
core +1 more source
Multidimensional unipolar IRT and applications to the measurement of print exposure
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract Item response theory (IRT) has been a prominent modelling framework in educational and psychological measurement. Traditional IRT models are bipolar, commonly assuming symmetric measurement link functions and symmetric trait distributions over a latent continuum unbounded at both ends. However, many measured constructs, such as print exposure,
Qi (Helen) Huang, Daniel M. Bolt
wiley +1 more source