Results 31 to 40 of about 1,983,602 (251)
Theorems on positive data: on the uniqueness of NMF. [PDF]
We investigate the conditions for which nonnegative matrix factorization (NMF) is unique and introduce several theorems which can determine whether the decomposition is in fact unique or not.
Plumbley, MD +9 more
core +1 more source
Sparse data embedding and prediction by tropical matrix factorization
Background Matrix factorization methods are linear models, with limited capability to model complex relations. In our work, we use tropical semiring to introduce non-linearity into matrix factorization models.
Amra Omanović +3 more
doaj +1 more source
Network Embedding Using Deep Robust Nonnegative Matrix Factorization
As an effective technique to learn low-dimensional node features in complicated network environment, network embedding has become a promising research direction in the field of network analysis.
Chaobo He +5 more
doaj +1 more source
Personalization Recommendation Algorithm Based on Trust Correlation Degree and Matrix Factorization
The rapid development of the Internet of Things (IoT) and e-commerce has brought a lot of convenience to people's lives. IoT applications generate a large number of services and user data.
Weimin Li +6 more
doaj +1 more source
Comparative Drug Response Profiling in Neuroblastoma Cell Lines and Patient‐Derived Tumor Organoids
ABSTRACT High‐risk neuroblastoma remains a leading cause of pediatric cancer mortality, and improved preclinical models are needed to guide therapeutic developments. We screened seven high‐risk neuroblastoma cell lines and three patient‐derived tumor organoids with 528 compounds alongside bone marrow controls, and compared them with external datasets ...
Krzysztof Wierbiłowicz +12 more
wiley +1 more source
ABSTRACT Background The Standards for Psychosocial Care for Children with Cancer and Their Families guide the provision of comprehensive psychosocial care. Parallel to research characterizing implementation of the Standards from the perspective of providers, this study examines implementation of the Standards from the perspective of parents of youth ...
Emily M. Pariseau +8 more
wiley +1 more source
NIMFA: A Python Library for Nonnegative Matrix Factorization [PDF]
NIMFA is an open-source Python library that provides a unified interface to nonnegative matrix factorization algorithms. It includes implementations of state-of-the-art factorization methods, initialization approaches, and quality scoring.
Zupan, Blaz, Zitnik, Marinka
core +1 more source
Robust capped norm dual hyper-graph regularized non-negative matrix tri-factorization
Non-negative matrix factorization (NMF) has been widely used in machine learning and data mining fields. As an extension of NMF, non-negative matrix tri-factorization (NMTF) provides more degrees of freedom than NMF.
Baicheng Pan (16678341) +3 more
core +3 more sources
ABSTRACT Background Adult survivors of childhood acute lymphoblastic leukemia (ALL) are at risk of reduced exercise capacity, decreased physical activity levels, persistent fatigue, and neurocognitive deficits. The aim was to investigate exercise capacity and physical activity levels of adult survivors of childhood ALL and their associations with ...
Laura Jess +5 more
wiley +1 more source
Approximate Factorization for One Class of Second-Order Matrix Functions [PDF]
Approximate factorization of Holder matrix function on a simple smooth closed contour has been defined. Components for one class of the 2×2 matrix function have been approximated by polynomials in z and 1/ z.
S.N. Kiyasov
doaj

