Results 81 to 90 of about 280,435 (260)
Additive Kernels for Gaussian Process Modeling [PDF]
, 2010 Gaussian Process (GP) models are often used as mathematical approximations of computationally expensive experiments. Provided that its kernel is suitably chosen and that enough data is available to obtain a reasonable fit of the simulator, a GP model can
Durrande, Nicolas +2 more
core +2 more sources
LDAcoop: Integrating non‐linear population dynamics into the analysis of clonogenic growth in vitro
Molecular Oncology, EarlyView.Limiting dilution assays (LDAs) quantify clonogenic growth by seeding serial dilutions of cells and scoring wells for colony formation. The fraction of negative wells is plotted against cells seeded and analyzed using the non‐linear modeling of LDAcoop.
Nikko Brix +13 more
wiley +1 more source
Curved Text Line Rectification via Bresenham’s Algorithm and Generalized Additive Models
SignalsThis paper presents a methodology for rectifying curved text lines, a crucial process in optical character recognition (OCR) and computer vision. Utilizing generalized additive models (GAMs), the proposed method accurately estimates text curvature and ...
Thomas Stogiannopoulos +1 more
doaj +1 more source
Scalable visualisation methods for modern Generalized Additive Models
, 2019 In the last two decades the growth of computational resources has made it possible to handle Generalized Additive Models (GAMs) that formerly were too costly for serious applications.
Fasiolo, Matteo +4 more
core
Molecular Oncology, EarlyView.Nanosecond infrared laser (NIRL) low‐volume sampling combined with shotgun lipidomics uncovers distinct lipidome alterations in oropharyngeal squamous cell carcinoma (OPSCC) of the palatine tonsil. Several lipid species consistently differentiate tumor from healthy tissue, highlighting their potential as diagnostic markers.
Leonard Kerkhoff +11 more
wiley +1 more source
Application of generalized additive models to explore minerals in sheep milk
Journal of Dairy Science: This study explores the complex relationships among ovine milk minerals (Ca, P, Na, K, Mg, K, Cl, respectively) and different factors employing generalized additive mixed models (GAMM). The GAMM included milk yield (MY), parity, and breed as parametric
Stefano Biffani +8 more
doaj +1 more source
Additive-multiplicative stochastic models of financial mean-reverting processes
, 2005 We investigate a generalized stochastic model with the property known as mean reversion, that is, the tendency to relax towards a historical reference level.
C. Anteneodo +11 more
core +1 more source
Peroxidasin enables melanoma immune escape by inhibiting natural killer cell cytotoxicity
Molecular Oncology, EarlyView.Peroxidasin (PXDN) is secreted by melanoma cells and binds the NK cell receptor NKG2D, thereby suppressing NK cell activation and cytotoxicity. PXDN depletion restores NKG2D signaling and enables effective NK cell–mediated melanoma killing. These findings identify PXDN as a previously unrecognized immune evasion factor and a potential target to improve
Hsu‐Min Sung +17 more
wiley +1 more source
A comparative analysis of generalized additive models for obesity risk prediction
Healthcare AnalyticsObesity is a growing global health crisis, and traditional regression models often fail to capture the complex relationships between risk factors, limiting predictive accuracy and hindering effective public health interventions.
Olushina Olawale Awe +4 more
doaj +1 more source
The live method for generalized additive volatility models. [PDF]
We investigate a new separable nonparametric model for time series, which includes many autoregressive conditional heteroskedastic (ARCH) models and autoregressive (AR) models already discussed in the literature.
Kim, Woocheol, Linton, Oliver B.
core +1 more source