EUR to USD - Euro to US Dollar Conversion - Exchange Rates
20 hours ago · Use the EUR to USD currency converter at Exchange-Rates.org for accurate and up-to-date exchange rates. Easily convert Euros to US Dollars with real-time data.
Optimal Prediction of Synchronization-Preserving Races
Concurrent programs are notoriously hard to write correctly, as scheduling nondeterminism introduces subtle errors that are both hard to detect and to reproduce. The most common concurrency errors are (data) races, which occur when memory-conflicting...
City-Data.com - Stats about all US cities - real estate, relocation ...
Stats about all US cities - real estate, relocation info, crime, house prices, schools, races, income, photos, sex offenders, maps, education, weather, home value ...
Addressing Census data problems in race imputation via fully Bayesian Improved S…
Prediction of individual's race and ethnicity plays an important role in social science and public health research. Examples include studies of racial disparity in health and voting. Recently, Bayesian Improved Surname Geocoding (BISG), which uses Ba...
Can we track the geography of surnames based on bibliographic data?
In this paper we explore the possibility of using bibliographic databases for tracking the geographic origin of surnames. Surnames are used as a proxy to determine the ethnic, genetic or geographic origin of individuals in many fields such as Genetic...
Predicting affinity ties in a surname network
From administrative registers of last names in Santiago, Chile, we create a surname affinity network that encodes socioeconomic data. This network is a multi-relational graph with nodes representing surnames and edges representing the prevalence of i...
Bayesian kernel machine regression for heteroscedastic health outcome data
The field of environmental epidemiology has placed an increasing emphasis on understanding the health effects of mixtures of metals, chemicals, and pollutants in recent years. Bayesian Kernel Machine Regression (BKMR) is a statistical method that has...
REE-HDSC: Recognizing Extracted Entities for the Historical Database Suriname Cu…
We describe the project REE-HDSC and outline our efforts to improve the quality of named entities extracted automatically from texts generated by hand-written text recognition (HTR) software. We describe a six-step processing pipeline and test it by...
Flexible quantum data bus for quantum networks
We consider multi-path routing of entanglement in quantum networks, where a pre-prepared multipartite entangled 2D cluster state serves as a resource to perform different tasks on demand. We show how to achieve parallel connections between multiple,...
Closing the Data Loop: Using OpenDataArena to Engineer Superior Training Dataset…
The construction of Supervised Fine-Tuning (SFT) datasets is a critical yet under-theorized stage in the post-training of Large Language Models (LLMs), as prevalent practices often rely on heuristic aggregation without a systematic understanding of h...
SPX | S&P 500 Index Overview | MarketWatch
2 days ago · SPX | A complete S&P 500 Index index overview by MarketWatch. View stock market news, stock market data and trading information.
A Dataset of Kurdish (Sorani) Named Entities -- An Amendment to Kurdish-BLARK Na…
Named Entity Recognition (NER) is one of the essential applications of Natural Language Processing (NLP). It is also an instrument that plays a significant role in many other NLP applications, such as Machine Translation (MT), Information Retrieval (...
Concluding talk at NOW 2006
This writeup summarizes the status of neutrino oscillations, including recent fluxes and experimental data, as of summer 2006. A discussion is given on the current status of absolute scale of neutrino mass from tritium, neutrinoless double beta dec...
A2D2: Audi Autonomous Driving Dataset
Research in machine learning, mobile robotics, and autonomous driving is accelerated by the availability of high quality annotated data. To this end, we release the Audi Autonomous Driving Dataset (A2D2). Our dataset consists of simultaneously record...
The Cosmological Parameters 2006
This is a review article for The Review of Particle Physics 2006 (aka the Particle Data Book). It forms a compact review of knowledge of the cosmological parameters as at May 2006. Topics included are Parametrizing the Universe; Extensions to the s...
[OC] ARC Raiders Loot Cheat Sheet — v2 (Keep / Sell / Recycle + Quests, Projects…
A lot of you found the first version helpful, so I made a new and improved sheet with (hopefully) up-to-date info. It’s aligned with [ARCtracker’s](https://arctracker.io/) data and adds clearer ca...
Gorenstein-Fano polytopes and compactifications of rank 2 polyptych lattices
The notion of polyptych lattices, introduced by Escobar, Harada, and Manon, wraps the data of a collection of lattices related by piecewise-linear bijections together into a single semi-algebraic object, equipped with its own notions of convexity and...
Consistently faster and smaller compressed bitmaps with Roaring
Compressed bitmap indexes are used in databases and search engines. Many bitmap compression techniques have been proposed, almost all relying primarily on run-length encoding (RLE). However, on unsorted data, we can get superior performance with a hy...
Deep learning using a biophysical model for Robust and Accelerated Reconstructio…
Purpose: To introduce a novel deep learning method for Robust and Accelerated Reconstruction (RoAR) of quantitative and B0-inhomogeneity-corrected R2* maps from multi-gradient recalled echo (mGRE) MRI data. Methods: RoAR trains a convolutional neur...
ROAR: Robust Adaptive Reconstruction of Shapes Using Planar Projections
The majority of existing large 3D shape datasets contain meshes that lend themselves extremely well to visual applications such as rendering, yet tend to be topologically invalid (i.e, contain non-manifold edges and vertices, disconnected components,...