Results 201 to 210 of about 107,979 (335)

Subgroup Identification via Multiple Change Point Detection: Methods and Applications

WIREs Computational Statistics, Volume 18, Issue 2, June 2026.
Subgroup identification methods facilitate the discovery of clinically meaningful subpopulations with differing disease progression, improving personalized risk assessment and treatment strategies. ABSTRACT Subgroup identification is a significant research area in statistics and machine learning, aiming to partition a heterogeneous population into more
Yaguang Li, Jingli Wang, Da Zhao, Jialiang Li   +3 more
wiley   +1 more source

Optimizing solar power forecasting with metaheuristic algorithms and deep learning models for photovoltaic grid connected systems. [PDF]

Sci Rep
Mohamad Radzi PNL, Mekhilef S, Mohamed Shah N, Akhter MN, Seyedmahmoudian M, Stojcevski A.   +5 more
europepmc   +1 more source

A Redundant Parameter Based Recursive Least Squares Algorithm for Nonlinear Additive Systems with Unknown Time-Delay

, 2017
Jia Chen, Donglei Lu
openalex   +1 more source

Variable data‐window‐size recursive least‐squares algorithm for dynamic system identification [PDF]

, 2015
Hyeonwoo Cho, Son‐Cheol Yu
openalex   +1 more source

Language machines: Toward a linguistic anthropology of large language models

Journal of Linguistic Anthropology, Volume 36, Issue 1, May 2026.
Abstract Large language models (LLMs) challenge long‐standing assumptions in linguistics and linguistic anthropology by generating human‐like language without relying on rule‐based structures. This introduction to the special issue Language Machines calls for renewed engagement with LLMs as socially embedded language technologies.
Siri Lamoureaux, Michael Castelle, Anna Weichselbraun   +2 more
wiley   +1 more source

Advancements in noise reduction for wheel speed sensing using enhanced LSTM models. [PDF]

Sci Rep
Lin SL.
europepmc   +1 more source

Asymptotic Efficiency Analysis of the Recursive Least-Squares Algorithm for ARX Systems Without Projection [PDF]

Xiaowen Liu, Jieming Ke, Yanlong Zhao
openalex   +1 more source

Contrasting Global and Patient‐Specific Regression Models via a Neural Network Representation

Biometrical Journal, Volume 68, Issue 2, April 2026.
ABSTRACT When developing clinical prediction models, it can be challenging to balance between global models that are valid for all patients and personalized models tailored to individuals or potentially unknown subgroups. To aid such decisions, we propose a diagnostic tool for contrasting global regression models and patient‐specific (local) regression
Max Behrens, Daiana Stolz, Eleni Papakonstantinou, Janis M. Nolde, Gabriele Bellerino, Angelika Rohde, Moritz Hess, Harald Binder   +7 more
wiley   +1 more source

Boolean matrix logic programming for active learning of gene functions in genome-scale metabolic network models. [PDF]

Mach Learn
Ai L, Muggleton SH, Liang SS, Baldwin GS.   +3 more
europepmc   +1 more source

Nonlinear Time-varying Systems Identification Based on Multi-dimensional Taylor Network and Variable Forgetting Factor Recursive Least Squares Algorithm

, 2015
Jiao‐Jun Zhang, Hong‐Sen Yan
openalex   +1 more source