www.bing.com/ck/a?!&&p=6a6fe9ab69da876cf6107259050be2026021407fa558b986b11db8c977d19c53JmltdHM9MTc3MjMyMzIwMA&ptn=3&ver=2&hsh=4&fclid=1e905a66-a18c-62b8-2398-4d69a0206376&u=a1aHR0cHM6Ly9zdXBwb3J0Lm1pY3Jvc29mdC5jb20vZW4tdXMvdG9waWMvamFudWFyeS0yOS0yMDI2LWtiNTA3NDgyOC1jdW11bGF0aXZlLXVwZGF0ZS1wcmV2aWV3LWZvci1uZXQtZnJhbWV3b3JrLTMtNS1hbmQtNC04LTEtZm9yLXdpbmRvd3MtMTEtdmVyc2lvbi0yNWgyLTY5MTcwNWVlLWViYWItNGQ4ZC05ZTY2LTBhZGJiYzhjNTQyMQ&ntb=1
The January 29, 2026 update for Windows 11, version 25H2 includes security and cumulative reliability improvements in .NET Framework 3.5 and 4.8.1. We recommend that you apply this update as part …
arxiv.org/abs/1210.5560v1
Wikipedia is an online encyclopedia that anyone can edit. In this open model, some people edits with the intent of harming the integrity of Wikipedia. This is known as vandalism. We extend the framework presented in (Potthast, Stein, and Gerling, 200...
arxiv.org/abs/1910.07640v1
The ABCD Neurocognitive Prediction Challenge is a community driven competition asking competitors to develop algorithms to predict fluid intelligence score from T1-w MRIs. In this work, we propose a deep learning combined with gradient boosting machi...
arxiv.org/abs/2308.11814v1
Data-driven, deep-learning modeling frameworks have been recently developed for forecasting time series data. Such machine learning models may be useful in multiple domains including the atmospheric and oceanic ones, and in general, the larger fluids...
arxiv.org/abs/1110.1863v1
We discuss the statistical properties of parton distributions within the framework of the NNPDF methodology. We present various tests of statistical consistency, in particular that the distribution of results does not depend on the underlying paramet...
arxiv.org/abs/1708.07700v3
This lesson unit has been developed within the framework the EU Space Awareness project. It provides an insight into the history and navigational methods of the Bronze Age Mediterranean peoples. The students explore the link between exciting history...
arxiv.org/abs/2201.08905v1
We study the framework of universal dynamic regret minimization with strongly convex losses. We answer an open problem in Baby and Wang 2021 by showing that in a proper learning setup, Strongly Adaptive algorithms can achieve the near optimal dynamic...
arxiv.org/abs/2511.07231v3
Access to Water, Sanitation, and Hygiene (WASH) services remains a major public health concern in refugee camps. This study introduces a remote sensing-driven framework to quantify WASH accessibility-specifically to water pumps, latrines, and bathing...
arxiv.org/abs/2405.05176v1
Composing poetry or lyrics involves several creative factors, but a challenging aspect of generation is the adherence to a more or less strict metric and rhyming pattern. To address this challenge specifically, previous work on the task has mainly fo...
news.ycombinator.com/item?id=46955606
Points: 1 | Comments: 4 | Author: boundedreason
arxiv.org/abs/0912.0673v1
We present a nonlinear hydrodynamical description of a conformal plasma within the framework of divergence-type theories (DTTs), which are not based on a gradient expansion. We compare the equations of the DTT and the second-order theory (based on...
arxiv.org/abs/2411.03409v1
The complexity of the real world demands robotic systems that can intelligently adapt to unseen situations. We present STEER, a robot learning framework that bridges high-level, commonsense reasoning with precise, flexible low-level control. Our appr...
arxiv.org/abs/2511.13690v3
This paper introduces a Ramanujan inner product and its corresponding norm, establishing a novel framework for the stability analysis of hybrid and discrete-time systems as an alternative to traditional Euclidean metrics. We establish new $ε$-$δ$ s...
arxiv.org/abs/2308.13715v1
Lyric translation plays a pivotal role in amplifying the global resonance of music, bridging cultural divides, and fostering universal connections. Translating lyrics, unlike conventional translation tasks, requires a delicate balance between singabi...
www.bing.com/ck/a?!&&p=ce1a28c8fb003bb4c7bd701205f53c5f07d03484f2e8f426687d1b4df8b85edbJmltdHM9MTc3MjIzNjgwMA&ptn=3&ver=2&hsh=4&fclid=39f3a9d0-6364-6b83-15fe-bedf62b56a0f&u=a1aHR0cHM6Ly93aW5nd2FyZS5jb20v&ntb=1
Wing supports test-driven development with the unittest, doctest, nose, pytest, and Django testing frameworks. Failing tests are easy to diagnose and fix with Wing's powerful debugger, and you can …
arxiv.org/abs/2409.03294v2
Cross-domain recommendation (CDR) aims to improve recommendation accuracy in sparse domains by transferring knowledge from data-rich domains. However, existing CDR approaches often assume that user-item interaction data across domains is publicly ava...
arxiv.org/abs/2601.14569v1
Social understanding abilities are crucial for multimodal large language models (MLLMs) to interpret human social interactions. We introduce Social Caption, a framework grounded in interaction theory to evaluate social understanding abilities of MLLM...
arxiv.org/abs/2408.14195v1
We study the representative arm identification (RAI) problem in the multi-armed bandits (MAB) framework, wherein we have a collection of arms, each associated with an unknown reward distribution. An underlying instance is defined by a partitioning of...
arxiv.org/abs/1702.03624v1
This work presents a collapsed generalized Aw-Rascle-Zhang (CGARZ) model, which fits into a generic second order model (GSOM) framework. GSOMs augment the evolution of the traffic density by a second state variable characterizing a property of vehicl...
arxiv.org/abs/2505.15659v1
We introduce $\textbf{F}$uture $\textbf{LA}$tent $\textbf{RE}$presentation Alignment ($\textbf{FLARE}$), a novel framework that integrates predictive latent world modeling into robot policy learning. By aligning features from a diffusion transformer...
