github.com/bfortuner/ml-glossary
bfortuner/ml-glossary
Machine learning glossary (⭐ 3114)
arxiv.org/abs/1909.09758v3
Empirical Analysis of Multi-Task Learning for Reducing Model Bias in Toxic Comme…
With the recent rise of toxicity in online conversations on social media platforms, using modern machine learning algorithms for toxic comment detection has become a central focus of many online applications. Researchers and companies have developed...
arxiv.org/abs/2311.16787v2
Evaluating Optimal Reference Translations
The overall translation quality reached by current machine translation (MT) systems for high-resourced language pairs is remarkably good. Standard methods of evaluation are not suitable nor intended to uncover the many translation errors and quality...
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Fearless (Taylor’s Version) Lyrics and Tracklist - Genius
Apr 9, 2021 · Fearless (Taylor’s Version) is the first of Taylor Swift’s six re-recorded albums, which she created to regain ownership of the six albums she created under Big Machine Records.
en.wikipedia.org/wiki/Fearless_%28Taylor_Swift_album%29
Fearless (Taylor Swift album) - Wikipedia
Fearless is the second studio album by the American singer-songwriter Taylor Swift. It was released in North America on November 11, 2008, by Big Machine
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Fearless (Taylor Swift album) - Wikipedia
Fearless is the second studio album by the American singer-songwriter Taylor Swift. It was released in North America on November 11, 2008, by Big Machine Records.
arxiv.org/abs/2108.01111v1
Pre-trained Models for Sonar Images
Machine learning and neural networks are now ubiquitous in sonar perception, but it lags behind the computer vision field due to the lack of data and pre-trained models specifically for sonar images. In this paper we present the Marine Debris Turntab...
arxiv.org/abs/2505.20725v1
A reinforcement learning agent for maintenance of deteriorating systems with inc…
Efficient maintenance has always been essential for the successful application of engineering systems. However, the challenges to be overcome in the implementation of Industry 4.0 necessitate new paradigms of maintenance optimization. Machine learnin...
github.com/TaskLanceAI/AI-ML-powered-SkinCare-Recommender
TaskLanceAI/AI-ML-powered-SkinCare-Recommender
Create Personalized skincare recommendations powered by AI and Machine Learning based on consumer unique skin needs, and to equip beauty brands with a new way to enhance their customer experiences and drive sales and recommend tailored skincare solutions. (⭐ 7…
github.com/Ankit-RV/Salon-Skin-Care-An-AI-Based-Skin-Analysis-Tool
Ankit-RV/Salon-Skin-Care-An-AI-Based-Skin-Analysis-Tool
This is an AI-based skin analysis tool developed for a salon. It can detect three different skin conditions: acne, oiliness, and the need for UV protection. This model is built using machine learning techniques and trained on a dataset of skin images. (⭐ 37)
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Odd appended letters in Services - Windows 10 Forums
Aug 16, 2021 · They are 'per user' services spawned from a machine-wide parent service (which has the same name less the random _xxxxx appended.) So, using your example - 'Messaging Service' is the …
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RL 550B, May 2007 5/17/07 2:21 PM Page 1 Dillon RL 550B
May 17, 2007 · Introduction First of all, the Dillon RL 550B is a remarkably simple machine–a little care and thought while setting up will save you time and give you thousands of trouble free rounds.
arxiv.org/abs/2208.03843v4
Counterfactual Fairness Is Basically Demographic Parity
Making fair decisions is crucial to ethically implementing machine learning algorithms in social settings. In this work, we consider the celebrated definition of counterfactual fairness [Kusner et al., NeurIPS, 2017]. We begin by showing that an algo...
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RL 550B, May 2007 5/17/07 2:21 PM Page 1 Dillon RL 550B
May 17, 2007 · Introduction First of all, the Dillon RL 550B is a remarkably simple machine–a little care and thought while setting up will save you time and give you thousands of trouble free rounds.
arxiv.org/abs/2401.06086v1
XGBoost Learning of Dynamic Wager Placement for In-Play Betting on an Agent-Base…
We present first results from the use of XGBoost, a highly effective machine learning (ML) method, within the Bristol Betting Exchange (BBE), an open-source agent-based model (ABM) designed to simulate a contemporary sports-betting exchange with in-p...
github.com/google-parfait/tensorflow-federated
google-parfait/tensorflow-federated
An open-source framework for machine learning and other computations on decentralized data. (⭐ 2428)
arxiv.org/abs/2209.05254v1
Analysis of an Induction Machine Fed by a Space Vector Modulated VSI
This paper describes the analysis and simulation performed on a three phase squirrel cage induction motor, fed by a Voltage Source Inverter (VSI), modulated using the space vector modulation scheme. The study mainly focused on analyzing the motor per...
arxiv.org/abs/2004.13988v2
Knowledgeable Dialogue Reading Comprehension on Key Turns
Multi-choice machine reading comprehension (MRC) requires models to choose the correct answer from candidate options given a passage and a question. Our research focuses dialogue-based MRC, where the passages are multi-turn dialogues. It suffers from...
arxiv.org/abs/2211.13130v1
A Brief Overview of AI Governance for Responsible Machine Learning Systems
Organizations of all sizes, across all industries and domains are leveraging artificial intelligence (AI) technologies to solve some of their biggest challenges around operations, customer experience, and much more. However, due to the probabilistic...
arxiv.org/abs/2207.09154v2
Investigating Bayesian optimization for expensive-to-evaluate black box function…
Bayesian optimization provides an effective method to optimize expensive-to-evaluate black box functions. It has been widely applied to problems in many fields, including notably in computer science, e.g. in machine learning to optimize hyperparamete...