arxiv.org/abs/1609.02883v1
Consider the case of many sensors, each returning very different types of data (e.g., a camera returning images, a thermometer returning probability distributions, a newspaper returning articles, a traffic counter returning numbers). Additionally we...
arxiv.org/abs/1604.05266v7
In this paper, we employ machine learning techniques to analyze seventeen seasons (1999-2000 to 2015-2016) of NBA regular season data from every team to determine the common characteristics among NBA playoff teams. Each team was characterized by 26 p...
github.com/Mayankdhote18/Techspark
Android Assignment project showcasing my learning journey. This repo contains the source code and resources for my app built during the assignment, demonstrating core Android development skills like UI design, data handling, and app functionality implementatio…
arxiv.org/abs/2204.10178v2
We introduce Doctor XAvIer, a BERT-based diagnostic system that extracts relevant clinical data from transcribed patient-doctor dialogues and explains predictions using feature attribution methods. We present a novel performance plot and evaluation m...
arxiv.org/abs/2509.18049v1
We review results on small-data global stability and highlight their applicability to classical interacting scalar fields with opposite-sign kinetic terms (ghosts). Further, we present a one-parameter family of numerical scattering solutions under th...
en.wikipedia.org/wiki/Musopen
Project as among the most prominent online music databases. Founded by Aaron Dunn in 2006, the site operates out of Palo Alto, California as a 501(c)(3)
arxiv.org/abs/0708.2718v1
Based on photometric and astrometric data it has been proposed that Albus 1 (also known as CPD-20 1123) might be a hot white dwarf similar to G191-B2B or, alternatively, a hot subdwarf. We obtained a series of optical spectra showing that CPD-20 11...
arxiv.org/abs/1605.05566v1
Over nearly three decades at the University of Wisconsin, Jeff Naughton has left an indelible mark on computer science. He has been a global leader of the database research field, deepening its core and pushing its boundaries. Many of Naughton's idea...
arxiv.org/abs/1701.01218v1
We present the Overlapping Domain Cover (ODC) notion for kernel machines, as a set of overlapping subsets of the data that covers the entire training set and optimized to be spatially cohesive as possible. We show how this notion benefit the speed of...
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BitLocker is a Windows security feature that protects your data by encrypting your drives. This encryption ensures that if someone tries to access a disk offline, they won’t be able to read any of its …
www.bing.com/ck/a?!&&p=708ffa02a16ea74742d1aace5a75e76f4f16bbd7c7bf6316a7350dee356e25c6JmltdHM9MTc3MjA2NDAwMA&ptn=3&ver=2&hsh=4&fclid=1375f5b6-9413-6e83-1956-e2ba95c86f7b&u=a1aHR0cHM6Ly9zdXBwb3J0Lm1pY3Jvc29mdC5jb20vZW4tdXMvd2luZG93cy9iYWNrdXAtcmVzdG9yZS1hbmQtcmVjb3ZlcnktaW4td2luZG93cy1lNmQ2MjljNC0yNTY4LTQ0MDYtODE0Zi0yMDlhMmFmMDZlZjc&ntb=1
Learn about the different tools to backup and restore your data, and to recover Windows in case of a system failure.
www.bing.com/ck/a?!&&p=0b5ef8cfb2eab6f28fbea88813759131adf17e42490d106a17b8ae4e567c132aJmltdHM9MTc3MjA2NDAwMA&ptn=3&ver=2&hsh=4&fclid=28ae9124-6080-65f1-3615-8628611364a3&u=a1aHR0cHM6Ly93d3cubW9ybmluZ3N0YXIuY29tL3N0b2Nrcy94bmFzL0FEUC9xdW90ZQ&ntb=1
2 days ago · See the latest Automatic Data Processing Inc stock price (ADP:XNAS), related news, valuation, dividends and more to help you make your investing decisions.
www.bing.com/ck/a?!&&p=486216772bbf8c454637bf68242b7e4615db0de87924da584b239aba764ebe40JmltdHM9MTc3MjA2NDAwMA&ptn=3&ver=2&hsh=4&fclid=28ae9124-6080-65f1-3615-8628611364a3&u=a1aHR0cHM6Ly9pbnZlc3RvcnMuYWRwLmNvbS9zdG9jay1pbmZvL3N0b2NrLXF1b3RlL2RlZmF1bHQuYXNweA&ntb=1
Dec 1, 2016 · All 3m NASDAQ:ADP News Releases Nov 24 Dec 1 Dec 8 Dec 15 Dec 22 Dec 29 Jan 5 Jan 12 Jan 19 Jan 26 Feb 2 Feb 9 Feb 16 Feb 23 2021 2022 2023 2024 2025 2026 200 220 240 260 …
arxiv.org/abs/2206.06108v3
Language-based audio retrieval is a task, where natural language textual captions are used as queries to retrieve audio signals from a dataset. It has been first introduced into DCASE 2022 Challenge as Subtask 6B of task 6, which aims at developing c...
arxiv.org/abs/2208.13902v2
This paper describes our contribution to the MIDOG 2022 challenge for detecting mitotic cells. One of the major problems to be addressed in the MIDOG 2022 challenge is the robustness under the natural variance that appears for real-life data in the h...
arxiv.org/abs/2206.04805v1
We build a classification model for the BirdCLEF 2022 challenge using unsupervised methods. We implement an unsupervised representation of the training dataset using a triplet loss on spectrogram representation of audio motifs. Our best model perform...
arxiv.org/abs/2402.00760v2
This work successfully generates an uncertainty-aware surrogate model of the EuroPED plasma pedestal model using the Bayesian neural network with noise contrastive prior (BNN-NCP) technique. This model is trained using data from the JET-ILW pedestal...
arxiv.org/abs/1312.7867v1
Carbon dioxide, along with atmospheric temperature are interacting to cause what we have defined as global warming. In the present study we develop a statistical model using real data to identify the attributable variables (risk factors) that cause t...
github.com/ewenme/transfers
data on european football player transfers (⭐ 137)
arxiv.org/abs/1012.0759v1
Cloud computing allows shared computer and storage facilities to be used by a multitude of clients. While cloud management is centralized, the information resides in the cloud and information sharing can be implemented via off-the-shelf techniques fo...