github.com/eatonphil/lust
eatonphil/lust
A parser, compiler, and virtual machine evaluator for a minimal subset of Lua; written from scratch in Rust. (⭐ 190)
arxiv.org/abs/2304.11815v1
A Semi-parametric Promotion Time Cure Model with Support Vector Machine
The promotion time cure rate model (PCM) is an extensively studied model for the analysis of time-to-event data in the presence of a cured subgroup. There are several strategies proposed in the literature to model the latency part of PCM. However, th...
github.com/prusa3d/Prusa-CW-Firmware
prusa3d/Prusa-CW-Firmware
Original Prusa Curing and Washing machine firmware (⭐ 13)
arxiv.org/abs/2109.01098v2
A Support Vector Machine Based Cure Rate Model For Interval Censored Data
The mixture cure rate model is the most commonly used cure rate model in the literature. In the context of mixture cure rate model, the standard approach to model the effect of covariates on the cured or uncured probability is to use a logistic funct...
github.com/RuiZhong961230/HRIMEMSP
RuiZhong961230/HRIMEMSP
Hierarchical RIME algorithm with multiple search preferences for extreme learning machine training (⭐ 3)
en.wikipedia.org/wiki/.ve
.ve - Wikipedia
dominio especial (gob.ve, mil.ve, edu.ve, tec.ve) Archived 2010-11-27 at the Wayback Machine, CONATEL IANA, .VE Spanish table IANA .ve whois information v
arxiv.org/abs/2009.05489v2
MRZ code extraction from visa and passport documents using convolutional neural…
Detecting and extracting information from Machine-Readable Zone (MRZ) on passports and visas is becoming increasingly important for verifying document authenticity. However, computer vision methods for performing similar tasks, such as optical charac...
arxiv.org/abs/2205.11454v1
What is Your Metric Telling You? Evaluating Classifier Calibration under Context…
Classifier calibration has received recent attention from the machine learning community due both to its practical utility in facilitating decision making, as well as the observation that modern neural network classifiers are poorly calibrated. Much...
arxiv.org/abs/2505.16946v3
NY Real Estate Racial Equity Analysis via Applied Machine Learning
This study analyzes tract-level real estate ownership patterns in New York State (NYS) and New York City (NYC) to uncover racial disparities. We use an advanced race/ethnicity imputation model (LSTM+Geo with XGBoost filtering, validated at 89.2% accu...
arxiv.org/abs/1911.01544v3
The generalization error of max-margin linear classifiers: Benign overfitting an…
Modern machine learning classifiers often exhibit vanishing classification error on the training set. They achieve this by learning nonlinear representations of the inputs that maps the data into linearly separable classes. Motivated by these pheno...
www.bing.com/ck/a?!&&p=e4a11bad3150fb6135ace250617c35b55aea178eadf6de9c92fa1476a421be7eJmltdHM9MTc3MjQ5NjAwMA&ptn=3&ver=2&hsh=4&fclid=39abaab2-d144-6dba-3dd1-bda3d0496c8b&u=a1aHR0cHM6Ly9zdGF0cy5zdGFja2V4Y2hhbmdlLmNvbS8&ntb=1
Cross Validated
Q&A for people interested in statistics, machine learning, data analysis, data mining, and data visualization
arxiv.org/abs/2408.04751v1
Sequential Hamiltonian Assembly: Enhancing the training of combinatorial optimiz…
A central challenge in quantum machine learning is the design and training of parameterized quantum circuits (PQCs). Much like in deep learning, vanishing gradients pose significant obstacles to the trainability of PQCs, arising from various sources....
arxiv.org/abs/2107.11986v2
Benign Adversarial Attack: Tricking Models for Goodness
In spite of the successful application in many fields, machine learning models today suffer from notorious problems like vulnerability to adversarial examples. Beyond falling into the cat-and-mouse game between adversarial attack and defense, this pa...
www.reddit.com/r/privacy/comments/1qvxp5s/the_privacy_illusion_how_brave_browser_built_its/
The Privacy Illusion: How Brave Browser Built Its Own Surveillance Machine
Cambridge Analytica makes statements on browser privacy. No /s included. ...
arxiv.org/abs/2401.05562v1
Brave: Byzantine-Resilient and Privacy-Preserving Peer-to-Peer Federated Learnin…
Federated learning (FL) enables multiple participants to train a global machine learning model without sharing their private training data. Peer-to-peer (P2P) FL advances existing centralized FL paradigms by eliminating the server that aggregates loc...
en.wikipedia.org/wiki/Liz_Canner
Liz Canner - Wikipedia
archived copy as title (link) Liz Canner: Radcliffe Fellow Archived 2009-12-20 at the Wayback Machine "Just Friends – Utne". Elizabeth Canner at IMDb
github.com/CRANE-toolbox/analysis-pipelines
CRANE-toolbox/analysis-pipelines
Project CRANE (Crisis Racism and Narrative Evaluation) aims to support researchers and anti-racist organisations that wish to use state-of-the-art text analysis algorithms to study how specific events impact online hate speech and racist narratives. CRANE Tool…
github.com/mapbox/gabbar
mapbox/gabbar
Guarding OpenStreetMap from harmful edits using machine learning (⭐ 19)
github.com/Engineer1999/A-Curated-List-of-ML-System-Design-Case-Studies
Engineer1999/A-Curated-List-of-ML-System-Design-Case-Studies
This repository contains a curated collection of 300+ case studies from over 80 companies, detailing practical applications and insights into machine learning (ML) system design. The contents are organized to help you easily find relevant case studies based on…
www.bing.com/ck/a?!&&p=82998eec61dbc6bdfa53e89d6f88062ee07c6c84866f4df419c985936f503a71JmltdHM9MTc3MjQ5NjAwMA&ptn=3&ver=2&hsh=4&fclid=30da523c-dc62-625d-2023-452dddfc633b&u=a1aHR0cHM6Ly93d3cuY2FzZWNlLmNvbS9lbi11cy9ub3J0aGFtZXJpY2EvcHJvZHVjdHMvZXhjYXZhdG9ycy9taW5pLWV4Y2F2YXRvcnMvY3g1MGQ&ntb=1
CX50D Mini Excavator - CASE Construction Equipment
The new CASE CX50D mini excavator is the premier zero tailswing machine in its size class. So, hop in and sit down. See how the profit potential feels.