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Website.com gives you everything needed to create your entire website for free - but premium plans include additional, professional features. With a premium plan, you get a domain name for a year, …
Website.com gives you everything needed to create your entire website for free - but premium plans include additional, professional features. With a premium plan, you get a domain name for a year, …
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Recent works reveal that network embedding techniques enable many machine learning models to handle diverse downstream tasks on graph structured data. However, as previous methods usually focus on learning embeddings for a single network, they can no...
Time series forecasting (TSF) plays a crucial role in various applications, including medical monitoring and crop growth. Despite the advancements in deep learning methods for TSF, their capacity to predict long-term series remains constrained. This...
Direct methods are widely used for alignment of models to images, due to their accuracy, since they minimize errors in the domain of measurement noise. They have leveraged least squares minimizations, for simple, efficient, variational optimization,...
The parametrically driven Ginsburg-Landau equation has well-known stationary solutions -- the so-called Bloch and Neel, or Ising, walls. In this paper, we construct an explicit stationary solution describing a bound state of two walls. We also demo...
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Simulating realistic time-domain observations of gravitational waves (GWs) and GW detector glitches can help in advancing GW data analysis. Simulated data can be used in downstream tasks by augmenting datasets for signal searches, balancing data sets...
Recent advances in multimodal large language models (MLLMs) have been primarily evaluated on general-purpose benchmarks, while their applications in domain-specific scenarios, such as intelligent product moderation, remain underexplored. To address t...
Data-driven methods -- such as machine learning and time series forecasting -- are widely used for sales forecasting in the food retail domain. However, for newly introduced products insufficient training data is available to train accurate models. I...
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Robust segmentation is critical for deriving quantitative measures from large-scale, multi-center, and longitudinal medical scans. Manually annotating medical scans, however, is expensive and labor-intensive and may not always be available in every d...
House Speaker Paul Ryan (R., Wis.) has told House Republicans Wednesday that he will not run for re-election. --- ##Submissions that may interest you SUBMISSION | DOMAIN ---|---- [Watch live: Ryan ...
Coursera course: HTML, CSS, and Javascript for Web Developers Woo-hoo! MORE CODING!!! Exciting! :-) Time to complete: About 1 hour or less. Ask questions in Discussions if you get stuck! We are all learning, and going through getting stuck and then unstuck (ev…
We propose a new shared task for tactical data-to-text generation in the domain of source code libraries. Specifically, we focus on text generation of function descriptions from example software projects. Data is drawn from existing resources used fo...
Recent work by (Richardson and Kuhn, 2017a,b; Richardson et al., 2018) looks at semantic parser induction and question answering in the domain of source code libraries and APIs. In this brief note, we formalize the representations being learned in th...
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A recent technical breakthrough in the domain of machine learning is the discovery and the multiple applications of Generative Adversarial Networks (GANs). Those generative models are computationally demanding, as a GAN is composed of two deep neural...
Sen. Dianne Feinstein, a trailblazer in U.S. politics and the longest-serving woman in the Senate, has died at 90 --- ##Submissions that may interest you SUBMISSION | DOMAIN ---|---- [Senator Diann...