Results 51 to 60 of about 1,592,171 (301)
Enhancing heart disease prediction accuracy by comparing classification models employing varied feature selection techniques [PDF]
Serbian Journal of Electrical EngineeringML (Machine Learning) is frequently used in health systems to alert physicians in real time. This helps to take preventive measures, such as predicting a future heart attack.
Balliu Lorena +4 more
doaj +1 more source
Hybrid Models for Learning to Branch
CoRR, 2020 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Vancouver ...
Gupta P. +5 more
openaire +5 more sources
Molecular Oncology, EarlyView.Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch +13 more
wiley +1 more source
Adaptive Density Estimation for Generative Models [PDF]
, 2019 Unsupervised learning of generative models has seen tremendous progress over recent years, in particular due to generative adversarial networks (GANs), variational autoencoders, and flow-based models.
Alahari, Karteek +4 more
core +2 more sources
Constraints on Supersymmetric Models of Hybrid Inflation
, 2006 We point out that the inclusion of a string component contributing around 5% to the CMB power spectrum amplitude on large scales can increase the preferred value of the spectral index n_s of density fluctuations measured by CMB experiments.
Battye, Richard A. +2 more
core +1 more source
NKCC1: A key regulator of glioblastoma progression
Molecular Oncology, EarlyView.Glioblastoma (GBM) progression is driven by disrupted chloride cotransporter homeostasis. NKCC1 is highly expressed in stem‐like, astrocytic, and progenitor cells, correlating with earlier recurrence, while overall survival remains unaffected. NKCC1 serves as a prognostic marker and potential therapeutic target, linking chloride transporter imbalance ...
Anja Thomsen +5 more
wiley +1 more source
A Simulation Model for Hybrid Multicast [PDF]
2014 Eighth International Conference on Next Generation Mobile Apps, Services and Technologies, 2014 In order to achieve one-to-many data delivery on the internet, native multicast is used and implemented in some parts of the Internet. On the other hand, application layer multicast (ALM), which uses P2P overlays (overlay multicast, OM), can be used to create multicast trees and deliver the data at the application layer.
Alwadani, Dhaiffallah +2 more
openaire +1 more source
Hybrid Modelling for Robust Solving [PDF]
Annals of Operations Research, 2004 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Brahim Hnich +3 more
openaire +2 more sources
Molecular Oncology, EarlyView.Dormant cancer cells can hide in distant organs for years, evading treatment and the immune system. This review highlights how signals from the surrounding tissue and immune environment keep these cells inactive or trigger their reawakening. Understanding these mechanisms may help develop therapies to eliminate or control dormant cells and prevent ...
Kanishka Tiwary +1 more
wiley +1 more source
Hybrid modeling, HMM/NN architectures, and protein applications [PDF]
, 1996 We describe a hybrid modeling approach where the parameters of a model are calculated and modulated by another model, typically a neural network (NN), to avoid both overfitting and underfitting.
Baldi, Pierre, Chauvin, Yves
core +1 more source