Results 111 to 120 of about 22,758,545 (367)
Empirical Bayesian Learning in AR Graphical Models [PDF]
arXiv, 2019 We address the problem of learning graphical models which correspond to high dimensional autoregressive stationary stochastic processes. A graphical model describes the conditional dependence relations among the components of a stochastic process and represents an important tool in many fields.
arxiv
Pen and Paper Exercises in Machine Learning [PDF]
arXiv, 2022 This is a collection of (mostly) pen-and-paper exercises in machine learning. The exercises are on the following topics: linear algebra, optimisation, directed graphical models, undirected graphical models, expressive power of graphical models, factor graphs and message passing, inference for hidden Markov models, model-based learning (including ICA ...
arxiv
Circulating tumor cells: advancing personalized therapy in small cell lung cancer patients
Molecular Oncology, EarlyView.Small cell lung cancer (SCLC) is an aggressive form of lung cancer that spreads rapidly to secondary sites such as the brain and liver. Cancer cells circulating in the blood, “circulating tumor cells” (CTCs), have demonstrated prognostic value in SCLC, and evaluating biomarkers on CTCs could guide treatment decisions such as for PARP inhibitors ...
Prajwol Shrestha +6 more
wiley +1 more source
Structure Learning of Probabilistic Graphical Models: A Comprehensive Survey [PDF]
arXiv, 2011 Probabilistic graphical models combine the graph theory and probability theory to give a multivariate statistical modeling. They provide a unified description of uncertainty using probability and complexity using the graphical model. Especially, graphical models provide the following several useful properties: - Graphical models provide a simple and ...
arxiv
Graphical LASSO Based Model Selection for Time Series
, 2014 We propose a novel graphical model selection (GMS) scheme for high-dimensional stationary time series or discrete time process. The method is based on a natural generalization of the graphical LASSO (gLASSO), introduced originally for GMS based on i.i.d.
Görtz, Norbert +2 more
core +2 more sources
Cell‐free and extracellular vesicle microRNAs with clinical utility for solid tumors
Molecular Oncology, EarlyView.Cell‐free microRNAs (cfmiRs) are small‐RNA circulating molecules detectable in almost all body biofluids. Innovative technologies have improved the application of cfmiRs to oncology, with a focus on clinical needs for different solid tumors, but with emphasis on diagnosis, prognosis, cancer recurrence, as well as treatment monitoring.
Yoshinori Hayashi +6 more
wiley +1 more source
On Graphical Models via Univariate Exponential Family Distributions [PDF]
arXiv, 2013 Undirected graphical models, or Markov networks, are a popular class of statistical models, used in a wide variety of applications. Popular instances of this class include Gaussian graphical models and Ising models. In many settings, however, it might not be clear which subclass of graphical models to use, particularly for non-Gaussian and non ...
arxiv
Recognizing Vector Graphics without Rasterization [PDF]
arXiv, 2021 In this paper, we consider a different data format for images: vector graphics. In contrast to raster graphics which are widely used in image recognition, vector graphics can be scaled up or down into any resolution without aliasing or information loss, due to the analytic representation of the primitives in the document.
arxiv
Molecular Oncology, EarlyView.The LEXOVE prospective study evaluated plasma cell‐free extracellular vesicle (cfEV) dynamics using Bradford assay and dynamic light scattering in metastatic non‐small cell lung cancer patients undergoing first‐line treatments, correlating a ∆cfEV < 20% with improved median progression‐free survival in responders versus non‐responders.
Valerio Gristina +17 more
wiley +1 more source
Topological Modeling for Vector Graphics [PDF]
IEEE Computer Graphics and Applications, 2019 In recent years, with the development of mobile phones, tablets, and web technologies, we have seen an ever-increasing need to generate vector graphics content, that is, resolution-independent images that support sharp rendering across all devices, as well as interactivity and animation.
James D. Foley, Boris Dalstein
openaire +3 more sources