A sequential, stage-specific sampling strategy was paired with GC–MS, electronic nose, HPLC, and GC to quantify evolving aroma compounds and flavor precursors. Seventy-two aroma-active compounds were ...

In complex environments such as dense forests, detecting and tracking moving targets presents significant challenges due to ...

DSpark can make decoding faster, but acceptance quality still determines how much speed the system actually realizes.

This repository collects some commonly used sequential recommendation datasets in recent research papers and provides a tool for downloading, preprocessing and batch-loading those datasets. The ...

DeepSeek speculative decoding framework DSpark went live June 27 on V4-Flash and V4-Pro, reporting up to 85 percent faster ...

This study presents a valuable contribution by introducing a model-based, Bayesian method for inferring action potentials from calcium imaging data that directly quantifies uncertainty in spike timing ...

Abstract: Recommender systems have become essential in large-scale e-commerce and content platforms. While user preferences are crucial in generating recommendations, the context in which ...

SEQUENTIAL sampling methods were developed during the War and remained secret for some time. Accounts of the methods have since been published in statistical journals, and knowledge of them has been ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

We propose Ψ-Sampler, an SMC-based framework that improves inference-time reward alignment in score-based generative models via efficient posterior initialization using the pCNL algorithm. We ...

Abstract: This article presents an optimization of the sequential spatial adaptive sampling (SSAS) algorithm to accelerate near-field scanning of printed circuit boards or integrated circuits. The ...

Objective This study aims to assess the feasibility of respondent-driven sampling (RDS) to recruit participants with recent abortion experiences in humanitarian contexts, and describe the composition ...