Zobrazeno 1 - 10
of 329 196
pro vyhledávání: '"non- stationary"'
Model-based geostatistics (MBG) is a subfield of spatial statistics focused on predicting spatially continuous phenomena using data collected at discrete locations. Geostatistical models often rely on the assumptions of stationarity and isotropy for
Externí odkaz:
http://arxiv.org/abs/2412.09225
Despite the superior performance of Large language models on many NLP tasks, they still face significant limitations in memorizing extensive world knowledge. Recent studies have demonstrated that leveraging the Retrieval-Augmented Generation (RAG) fr
Externí odkaz:
http://arxiv.org/abs/2412.07618
The problem of robust quickest change detection (QCD) in non-stationary processes under a multi-stream setting is studied. In classical QCD theory, optimal solutions are developed to detect a sudden change in the distribution of stationary data. Most
Externí odkaz:
http://arxiv.org/abs/2412.04493
Autor:
Galashov, Alexandre, Titsias, Michalis K., György, András, Lyle, Clare, Pascanu, Razvan, Teh, Yee Whye, Sahani, Maneesh
Publikováno v:
NeurIPS 2024
Neural networks are traditionally trained under the assumption that data come from a stationary distribution. However, settings which violate this assumption are becoming more popular; examples include supervised learning under distributional shifts,
Externí odkaz:
http://arxiv.org/abs/2411.04034
Autor:
Iwazaki, Shogo, Takeno, Shion
This paper studies a non-stationary kernelized bandit (KB) problem, also called time-varying Bayesian optimization, where one seeks to minimize the regret under an unknown reward function that varies over time. In particular, we focus on a near-optim
Externí odkaz:
http://arxiv.org/abs/2410.16052
The present study proposes a new index to quantify the severity of non-stationary power quality (PQ) disturbance events. In particular, the severity of PQ events is estimated from their energy distribution in temporal-frequency space. The index essen
Externí odkaz:
http://arxiv.org/abs/2410.11442