Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
This is a linear regular expression engine for a subset of JavaScript regexes. The underlying algorithm is an extension of the PikeVM, supporting more JavaScript features. This engine implements the ...
Objective: This study aimed to develop a machine learning–based model to predict recurrence risk after perianal abscess surgery, thereby supporting personalized follow-up and intervention strategies.
Survival outcomes of whole pelvic vs. bladder-only radiation in muscle-invasive bladder cancer: A nationwide large-scale study. Cumulative incidence rates by type of recurrences (N = 5,490) 1. 1 ...
It’s hard to ignore the seismic shifts brought about by algorithm-driven content. Every time you scroll through your social media feed or check your favorite news app, algorithms are diligently at ...
The Transformer architecture revolutionised natural language processing with its self-attention mechanism, enabling parallel computation and effective context retrieval. However, Transformers face ...
ABSTRACT: In this paper we compare track data association purity, accuracy, and timing on a simple, idealized model tracking problem for two data association methods: Global Nearest Neighbor (GNN) and ...
This is the readme file for the Paper "Accelerating the Hungarian Algorithm: Computing Linear Assignments on CPUs, GPUs, and IPUs". IPU: We run our algorithm on the 1.325GHz Mk2 GC200 IPU. GPU: All ...
Prior to PILOT, fitting linear model trees was slow and prone to overfitting, especially with large datasets. Traditional regression trees struggled to capture linear relationships effectively. Linear ...
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