Intelligent code analysis has received increasing attention in parallel with the remarkable advances in the field of machine learning (ML) in recent years. A major challenge in leveraging ML for this purpose is to represent source code in a useful fo...
This paper presents a set of exploits an adversary can use to continuously spy on most BitTorrent users of the Internet from a single machine and for a long period of time. Using these exploits for a period of 103 days, we collected 148 million IPs...
Compute fractional differentiation super-fast. Processes time-series to be stationary while preserving memory. cf. "Advances in Financial Machine Learning" by M. Prado. (⭐ 333)
I’m 99% sold on this machine and i’m about to pull the trigger on kickstarter backing the entire kit. My only concern is it sounds almost…too good to be true? The slicer being 3 clicks, ability ...
A parser, compiler, and virtual machine evaluator for a minimal subset of Lua; written from scratch in Rust. (⭐ 190)
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...
Original Prusa Curing and Washing machine firmware (⭐ 13)
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...
Hierarchical RIME algorithm with multiple search preferences for extreme learning machine training (⭐ 3)
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
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...
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...
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...
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...
Q&A for people interested in statistics, machine learning, data analysis, data mining, and data visualization
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....
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...
Cambridge Analytica makes statements on browser privacy. No /s included. ...
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...
archived copy as title (link) Liz Canner: Radcliffe Fellow Archived 2009-12-20 at the Wayback Machine "Just Friends – Utne". Elizabeth Canner at IMDb