Results 81 to 90 of about 490,396 (287)
We use partial class memberships in soft classification to model uncertain labelling and mixtures of classes. Partial class memberships are not restricted to predictions, but may also occur in reference labels (ground truth, gold standard diagnosis) for ...
Beleites, Claudia +2 more
core +1 more source
An alternative confusion matrix implementation for PreCall
In this work, we examine literature on creating visualizations for the performance of machine learning classifiers, with our target group being users with limited machine learning experience. The underlying data is taken from Wikipedia, and more specifically ORES - Wikimedia’s service, which employs a machine learning model to score edits and articles.
openaire +2 more sources
Digital Microneedles for Multiplexed Transdermal Sensing via Fluorescent QR Codes
Digital fluorescent microneedles encode biochemical information in skin into scannable QR codes through threshold‐activated probes that generate binary on/off signals. By transforming analog fluorescence into discrete digital patterns, this platform enables calibration‐free, multiplexed transdermal sensing of physiologically relevant biomarkers ...
Farbod Abazar +7 more
wiley +1 more source
Penerapan Algoritma K-nearest Neighbor Untuk Penentuan Resiko Kredit Kepemilikan Kendaraan Bemotor [PDF]
Sejalan dengan pertumbuhan bisnis, kredit merupakah masalah yang menarik untuk diteliti. Beberapa riset bidang komputer untuk mengurangi resiko kredit telah banyak dilakukan dalam rangka menghindarai kehancuran suatu Perusahaan pembiayaan.
Leidiyana, H. (Henny)
core
Non-Gaussian CMBR angular power spectra
In this paper we show how the prediction of CMBR angular power spectra $C_l$ in non-Gaussian theories is affected by a cosmic covariance problem, that is $(C_l,C_{l'})$ correlations impart features on any observed $C_l$ spectrum which are absent from the
D. Coulson +13 more
core +1 more source
A fully flexible ion‐gel‐gated graphene‐channel transistor driven by a triboelectric nanogenerator enables self‐powered tactile sensing and synaptic learning. Mimicking spike‐rate‐dependent plasticity, the device exhibits frequency‐selective potentiation and depression, supporting rate‐coded neuromorphic computation even under flex.
Hanseong Cho +3 more
wiley +1 more source
Pressurized coal of water inrush risk assessment based on confusion matrix
Floor water inrush of Coal seam is a complex dynamic phenomenon of hydrogeology and mining, which is controlled by multiple factors and has very complex nonlinear dynamic characteristics.
Min CAO +4 more
doaj +1 more source
A transparent, deformable stevia–PVA hydrogel triboelectric nanogenerator delivers significantly enhanced mechanical strength and electrical output through biomimetic hydrogen‐bonded networks. Coupled with machine learning–assisted signal recognition, the self‐powered hydrogel enables accurate human‐motion sensing for intelligent wearable and IoT ...
Thien Trung Luu +5 more
wiley +1 more source
Semantic Similarity Assessment of Volunteered Geographic Information
The recent development in communication technologies between individuals allows for the establishment of more informal collaborative map data projects which are called volunteered geographic information (VGI).
Maythm M. Albakri, Dr
doaj
Efficient Prompt Optimization for Relevance Evaluation via LLM-Based Confusion Matrix Feedback
Evaluating query-passage relevance is a crucial task in information retrieval (IR), where the performance of large language models (LLMs) greatly depends on the quality of prompts.
Jaekeol Choi
doaj +1 more source

