Results 131 to 140 of about 2,998,558 (396)
Sparse Inverse Problems Over Measures: Equivalence of the Conditional Gradient and Exchange Methods
We study an optimization program over nonnegative Borel measures that encourages sparsity in its solution. Efficient solvers for this program are in increasing demand, as it arises when learning from data generated by a `continuum-of-subspaces' model, a ...
Eftekhari, Armin, Thompson, Andrew
core +1 more source
This study simultaneously investigated circulating tumor cells (CTCs) and exosomes from small‐cell lung cancer (SCLC) patients. The elevated expression of JUNB and CXCR4 in CTCs was a poor prognostic factor for SCLC patients, whereas exosomal overexpression of these biomarkers revealed a high discrimination ability of patients from healthy individuals,
Dimitrios Papakonstantinou+13 more
wiley +1 more source
Identifying motivation for enrollment in MOOCs has been an important way to predict participant success rates. But themes for motivation have largely centered around themes for enrolling in any MOOC, and not ones specific to the course being studied. In
Heather Allmond Barker+3 more
doaj +1 more source
Establishment Wage Differentials [PDF]
Economists have long known that individual wages depend on a combination of employee and employer characteristics, as well as the interaction of the two.
Lane, Julia I.+2 more
core
The Stability and Usability of Statistical Topic Models
Statistical topic models have become a useful and ubiquitous tool for analyzing large text corpora. One common application of statistical topic models is to support topic-centric navigation and exploration of document collections. Existing work on topic modeling focuses on the inference of model parameters so the resulting model fits the input data ...
Yang, Yi+4 more
openaire +3 more sources
High‐grade serous ovarian cancer (HGSOC) is the most common and aggressive type of ovarian cancer with urgent need for new treatment strategies. This study evaluates plasma‐activated media (PAM) as a novel treatment for HGSOC, showing its ability to selectively induce oxidative stress and apoptosis in HGSOC cell lines, patient ascites cells and primary
Lorena T. Davies+9 more
wiley +1 more source
When are Overcomplete Topic Models Identifiable? Uniqueness of Tensor Tucker Decompositions with Structured Sparsity [PDF]
Overcomplete latent representations have been very popular for unsupervised feature learning in recent years. In this paper, we specify which overcomplete models can be identified given observable moments of a certain order. We consider probabilistic admixture or topic models in the overcomplete regime, where the number of latent topics can greatly ...
arxiv
The mitosis‐related gene SKA1 was among 629 genes consistently dysregulated in OSCC across nine public gene expression datasets. In OSCC cell lines, SKA1 promoted proliferation and migration, enhanced radioresistance, and reduced radiation‐induced senescence.
Alexander Michael Grandits+7 more
wiley +1 more source
Historia Magistra Vitae: Dynamic Topic Modeling of Roman Literature using Neural Embeddings [PDF]
Dynamic topic models have been proposed as a tool for historical analysis, but traditional approaches have had limited usefulness, being difficult to configure, interpret, and evaluate. In this work, we experiment with a recent approach for dynamic topic modeling using BERT embeddings. We compare topic models built using traditional statistical models (
arxiv
Surveying Persons with Disabilities: A Source Guide (Version 1) [PDF]
As a collaborator with the Cornell Rehabilitation Research and Training Center on Disability Demographics and Statistics, Mathematica Policy Research, Inc. has been working on a project that identifies the strengths and limitations in existing disability
Bleeker, Martha+2 more
core +1 more source