Results 61 to 70 of about 1,312,626 (282)
A New Quantile-Based Approach for LASSO Estimation
Mathematics, 2023 Regularization regression techniques are widely used to overcome a model’s parameter estimation problem in the presence of multicollinearity. Several biased techniques are available in the literature, including ridge, Least Angle Shrinkage Selection ...
Ismail Shah +4 more
doaj +1 more source
Information Transmission Strategies for Self‐Organized Robotic Aggregation
Advanced Robotics Research, EarlyView.In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng +5 more
wiley +1 more source
Investigación & DesarrolloEste estudio analiza los determinantes del empleo informal en Bolivia mediante una combinación de técnicas econométricas tradicionales, métodos de machine learning y enfoques híbridos.
Ibhar Beramendi Illanes +1 more
doaj +1 more source
Modular, Textile‐Based Soft Robotic Grippers for Agricultural Produce Handling
Advanced Robotics Research, EarlyView.This article introduces textile‐based pneumatic grippers that transform simple textiles into robust bending actuators. Detailed experiments uncover how cut geometry and fabric selection shape performance. Successful handling of fragile agricultural items showcases the potential of textile robotics for safe, scalable automation in food processing and ...
Zeyu Hou +4 more
wiley +1 more source
Adaptive Generalized Fused-Lasso: Asymptotic Properties and Applications
, 2013 The Lasso has been widely studied and used in many applications over the last decade. It has also been extended in various directions in particular to ensure asymptotic oracle properties through adaptive weights (Zou, 2006). Another direction has been to
Höfling, Holger +3 more
core +5 more sources
hal9001: Scalable highly adaptive lasso regression in R
, 2020 A scalable implementation of the highly adaptive lasso algorithm,including routines for constructing sparse matrices of basis functions of the observed data, as well as a custom implementation of Lasso regression tailored to enhance efficiency when the ...
Hejazi, Nima S +2 more
core +1 more source
Shear‐Isolating Actuation System for Exosuit Using Movable Pulley With Webbing‐Driven Mechanism
Advanced Robotics Research, EarlyView.Tendon‐driven exosuits can chafe the skin because the moving tendon slides against the wearer. A shear‐isolating actuation system combining a movable pulley with flat‐profile webbing keeps the body‐contacting tendon layer stationary, relocating relative motion away from the skin. The compact 145‐g actuator delivers 150 N of assistance, and benchtop and
Kyeongmin Lim +5 more
wiley +1 more source
Sparse Graph Learning Under Laplacian-Related Constraints
IEEE Access, 2021 We consider the problem of learning a sparse undirected graph underlying a given set of multivariate data. We focus on graph Laplacian-related constraints on the sparse precision matrix that encodes conditional dependence between the random variables ...
Jitendra K. Tugnait
doaj +1 more source
Advanced Science, EarlyView.An interpretable machine learning framework integrating SHAP and PDP analysis identifies critical design descriptors from 139 physicochemical features for Nb─Si alloys. The framework achieves <7% prediction error and guides the discovery of Nb38.5Ti38.5Si3Zr18V2 alloy with 22.791 MPa·m1/2 fracture toughness, breaking the 20 MPa·m1/2 barrier.
Dezhi Chen +7 more
wiley +1 more source
مجلة الغري للعلوم الاقتصادية والاداريةان مشكلة تسرب الطلبة تعد من اهم التحديات التي تواجه العملية التربوية في الوقت الحاضر كما وان اختيار الاسلوب الاحصائي الدقيق للحد من هذه الظاهرة يعتبر من اهم الاجراءات الاساسية والمطلوبة لمتخذ القرار في الحد من هذه الظاهرة.
د.هيثم حسون ماجد الخزاعي
doaj +1 more source