Authors: Murat Kulahci, Antonio Lepore, Biagio Palumbo, Gianluca Sposito
arXiv
In many Industry 4.0 data analytics applications, quality characteristic data acquired from manufacturing processes are better modeled as functions, often referred to as profiles. In practice, there a...
Authors: Yuqi Wang, Aarzu Gupta, David Carpenter, Trey Mullikin, Zachary J. Reitman, Scott Floyd, John Kirkpatrick, Joseph K. Salama, Paul W. Sperduto, Jian-Guo Liu, Mustafa R. Bashir, Kyle J. Lafata
arXiv
TodevelopanovelUncertaintyQuantification (UQ) framework to estimate the uncertainty of patient survival models in the absence of ground truth, we developed and evaluated our approach based on a datase...
Authors: Roy E. Clymer, Sanjeev V. Namjoshi
arXiv
The adaptive fitness of an organism in its ecological niche is highly reliant upon its ability to associate an environmental or internal stimulus with a behavior response through reinforcement. This s...
Authors: Minghui Liao, Guojia Wan, Bo Du
arXiv
Determining the types of neurons within a nervous system plays a significant role in the analysis of brain connectomics and the investigation of neurological diseases. However, the efficiency of utili...
Authors: Rainer Engelken
arXiv
Training recurrent neural networks (RNNs) remains a challenge due to the instability of gradients across long time horizons, which can lead to exploding and vanishing gradients. Recent research has li...
Authors: Richard D. Gill, Piet Groeneboom, Peter de Jong
arXiv
In the conviction of Lucia de Berk an important role was played by a simple hypergeometric model, used by the expert consulted by the court, which produced very small probabilities of occurrences of c...
Authors: Fabrice Rossi, Nathalie Villa-Vialaneix
arXiv
This paper proposes an organized generalization of Newman and Girvan's modularity measure for graph clustering. Optimized via a deterministic annealing scheme, this measure produces topologically orde...
Authors: Di Liu, Daniel Percival, Stephen E. Fienberg
arXiv
We present a new similarity measure tailored to posts in an online forum. Our measure takes into account all the available information about user interest and interaction --- the content of posts, the...
Authors: Emanuel Diamant
arXiv
Machine Consciousness and Machine Intelligence are not simply new buzzwords that occupy our imagination. Over the last decades, we witness an unprecedented rise in attempts to create machines with hum...
Authors: B. Geelhoed
arXiv
The variance of the concentration in a sample can be estimated using knowledge of the particle masses, concentrations and the parameter for the dependent selection of particles. A number of variance e...
Authors: Anna-Sapfo Malaspinas, Caroline Uhler
arXiv
Rapid research progress in genotyping techniques have allowed large genome-wide association studies. Existing methods often focus on determining associations between single loci and a specific phenoty...
Authors: Erik A. Sauleau, Valentina Mameli, Monica Musio
arXiv
In recent years, spatial and spatio-temporal modeling have become an important area of research in many fields (epidemiology, environmental studies, disease mapping). In this work we propose different...
Authors: Jordi Soriano, Ilan Breskin, Elisha Moses, Tsvi Tlusty
arXiv
We study neural connectivity in cultures of rat hippocampal neurons. We measure the neurons' response to an electric stimulation for gradual lower connectivity, and characterize the size of the giant...
Authors: Jordi Soriano, Maria Rodrriguez Martinez, Tsvi Tlusty, Elisha Moses
arXiv
We introduce a novel approach for the quantitative assessment of the connectivity in neuronal cultures, based on the statistical mechanics of percolation on a graph. This allows us to follow the devel...
Authors: Xiwen Ma, Bin Dai, Ronald Klein, Barbara E. K. Klein, Kristine E. Lee, Grace Wahba
arXiv
Classical penalized likelihood regression problems deal with the case that the independent variables data are known exactly. In practice, however, it is common to observe data with incomplete covariat...