Results 41 to 50 of about 118,919 (305)

Approximate Sparse Multinomial Logistic Regression for Classification

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
We propose a new learning rule for sparse multinomial logistic regression (SMLR). The new rule is the generalization of the one proposed in the pioneering work by Krishnapuram et al. In our proposed method, the parameters of SMLR are iteratively estimated from log-posterior by using some approximations.
openaire   +3 more sources

Use of Symptomatic Drug Treatment for Fatigue in Multiple Sclerosis and Patterns of Work Loss

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To describe the use of central stimulants and amantadine for fatigue in MS and evaluate a potential association with reduced work loss in people with MS. Methods We conducted a nationwide, matched, register‐based cohort study in Sweden (2006 to 2023) using national registers with prospective data collection.
Simon Englund, Johan Reutfors, Thomas Frisell, Fredrik Piehl   +3 more
wiley   +1 more source

Hybrid approximate message passing [PDF]

, 2017
Gaussian and quadratic approximations of message passing algorithms on graphs have attracted considerable recent attention due to their computational simplicity, analytic tractability, and wide applicability in optimization and statistical inference ...
Byrne, Evan, Fletcher, Alyson K., Goyal, Vivek K., Rangan, Sundeep, Schniter, Philip   +4 more
core   +2 more sources

ADMM-Softmax: an ADMM approach for multinomial logistic regression [PDF]

ETNA - Electronic Transactions on Numerical Analysis, 2020
We present ADMM-Softmax, an alternating direction method of multipliers (ADMM) for solving multinomial logistic regression (MLR) problems. Our method is geared toward supervised classification tasks with many examples and features. It decouples the nonlinear optimization problem in MLR into three steps that can be solved efficiently.
Fung, Samy Wu, Tyrväinen, Sanna, Ruthotto, Lars, Haber, Eldad   +3 more
openaire   +3 more sources

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, Eran Beeri Bamani, Joao Buzzatto, Bryan Busby, Lucas Ferrari Gerez   +4 more
wiley   +1 more source

A generic nomogram for multinomial prediction models: theory and guidance for construction

Diagnostic and Prognostic Research, 2017
Background The use of multinomial logistic regression models is advocated for modeling the associations of covariates with three or more mutually exclusive outcome categories.
Maarten van Smeden, Joris AH de Groot, Stavros Nikolakopoulos, Loes CM Bertens, Karel GM Moons, Johannes B. Reitsma   +5 more
doaj   +1 more source

Financial Literacy and Financial Risk Tolerance of Individual Investors: Multinomial Logistic Regression Approach

SAGE Open, 2020
Financial risk tolerance is one of the important factors affecting the financial investment decisions of individuals and institutional investors and a crucial factor of financial planning and financial counseling.
Yılmaz Bayar, H. Funda Sezgin, Ömer Faruk Öztürk, Mahmut Ünsal Şaşmaz   +3 more
doaj   +1 more source

Ridge Estimation for Multinomial Logit Models with Symmetric Side Constraints [PDF]

, 2009
In multinomial logit models, the identifiability of parameter estimates is typically obtained by side constraints that specify one of the response categories as reference category.
Tutz, Gerhard, Zahid, Faisal Maqbool
core   +1 more source

Single‐Field Evolution Rule Governs the Dynamics of Representational Drift in Mouse Hippocampal Dorsal CA1 Region

Advanced Science, EarlyView.
Long‐term hippocampal place‐code dynamics are investigated using calcium imaging across weeks of maze navigation. Analyses reveal a novelty‐irrelevant Single‐Field Evolution Rule (SFER), where active fields promote persistence and inactive fields decline.
Cong Chen, Shuyang Yao, Sihui Cheng, Jiayi Tian, Ang Li, Yusen Yan, Xiang Zhang, Yuanjing Liu, Yumeng Wang, Qichen Cao, Chenglin Miao   +10 more
wiley   +1 more source

Determinants of local food producer participation in state‐sponsored marketing programs: Evidence from Missouri

Agribusiness, EarlyView.
Abstract This study examines producer participation choices considering a variety of potential benefits linked to state‐sponsored marketing programs, using a real choice dataset of farmers in Missouri. Multinomial logit models are employed to predict determinants of farmer enrollment in three tiers of the Missouri Grown local food marketing program ...
Lan Tran, Ye Su, Laura McCann
wiley   +1 more source