Search · four archives

Results for MM algorithm

or ask it as a questionAsk the stacks →

ArchivesarXiv PubMed bioRxiv chemRxiv

WhenAny time Past month Past year Past 5 years

OrderMost relevant Most cited Newest

12 papers · ranked by Valyu relevance

01
PPubMed24 Jan 2022
Efficient ReML inference in variance component mixed models using a Min-Max algorithm Efficient ReML inference using MM algorithm
Fabien Laporte, Alain Charcosset, Tristan Mary-Huard, Mona Singh
Since their introduction in the 50’s, variance component mixed models have been widely used in many application fields. In this context, ReML estimation is by far the most popular procedure to infer the variance components of the model. Although many implementations of the ReML procedure are readily available, there is…
81relevance
02
BbioRxiv10 Aug 2020
Unification of Sparse Bayesian Learning Algorithms for Electromagnetic Brain Imaging with the Majorization Minimization Framework
Ali Hashemi, Chang Cai, Gitta Kutyniok, Klaus-Robert Müller + 2 more
Methods for electro- or magnetoencephalography (EEG/MEG) based brain source imaging (BSI) using sparse Bayesian learning (SBL) have been demonstrated to achieve excellent performance in situations with low numbers of distinct active sources, such as event-related designs. This paper extends the theory and practice of…
80relevance
03
PPubMed13 Mar 2023
Wideband Waveform Design for Distributed Precision Jamming
Kedi Zhang, Qingsong Zhou, Jing Wang, Chao Huang + 4 more
'Jianyun Zhang' 'Lin Bai' 'Lin Zhou'] Precision electronic warfare is a hot direction for future jamming technology development, and distributed precision jamming (DIPJ) is one of its typical application scenarios. The task objective of DIPJ is to design jamming waveforms so that the jamming energy generated by a set…
78relevance
04
PPubMed27 Oct 2016
Development and Validation of an Algorithm to Identify Patients with Multiple Myeloma Using Administrative Claims Data
Nicole Princic, Chris Gregory, Tina Willson, Maya Mahue + 4 more
This study utilized MM cases and controls from four Marketscan® databases: two MarketScan Electronic Medical Records (EMR) Databases (Oncology EMR and Primary Care EMR) and two MarketScan administrative claims databases (Commercial and Medicare Supplemental). The Commercial and Medicare Supplemental claims databases…
74relevance
05
PPubMed10 Aug 2020
Underwater TDOA Acoustical Location Based on Majorization-Minimization Optimization
Shuangshuang Li, Haixin Sun, Hamada Esmaiel
Underwater acoustic localization is a useful technique applied to any military and civilian applications. Among the range-based underwater acoustic localization methods, the time difference of arrival (TDOA) has received much attention because it is easy to implement and relatively less affected by the underwater…
65relevance
06
BbioRxiv6 Dec 2019
Learning cognitive maps for vicarious evaluation
Rajeev V. Rikhye, Nishad Gothoskar, J. Swaroop Guntupalli, Antoine Dedieu + 2 more
Cognitive maps enable us to learn the layout of environments, encode and retrieve episodic memories, and navigate vicariously for mental evaluation of options. A unifying model of cognitive maps will need to explain how the maps can be learned scalably with sensory observations that are non-unique over multiple spatial…
64relevance
07
PPubMed22 Jul 2019
Hough Transform-Based Large Dynamic Reflection Coefficient Micro-Motion Target Detection in SAR
Yang Zhou, Daping Bi, Aiguo Shen, Xiaoping Wang + 1 more
Special phase modulation of SAR echoes resulted from target rotation or vibration, is a phenomenon called the micro-Doppler (m-D) effect. Such an effect offers favorable information for micro-motion (MM) target detection, thereby improving the performance of the synthetic aperture radar (SAR) system. However, when…
62relevance
08
BbioRxiv10 Jul 2022
Cohort-mean measured macromolecules lead to more robust linear-combination modeling than parameterized and subject-specific ones
Helge J. Zöllner, Christopher W. Davies-Jenkins, Saipavitra Murali-Manohar, Tao Gong + 6 more
Expert consensus recommends linear-combination modeling (LCM) of ^1^H MR spectra with sequence-specific simulated metabolite basis function and experimentally derived macromolecular (MM) basis functions. Measured MM basis functions have been derived from metabolite-nulled spectra averaged across a small cohort. The use…
62relevance
09
BbioRxiv25 Sep 2025
Fast and standardized motor-hotspot determination with automated TMS mapping
Ida Granö, Olli-Pekka Kahilakoski, Mikael Laine, Miriam Kirchhoff + 13 more
Determining the optimal stimulation target for motor responses (motor hotspot) and the required intensity for reliably eliciting said responses (motor threshold) are common procedures in transcranial magnetic stimulation (TMS) research and treatments. However, the procedures for determining them are user-dependent…
61relevance
10
PPubMed14 Feb 2024
Spectral energy balancing system with massive MIMO based hybrid beam forming for wireless 6G communication using dual deep learning model
Ramesh Sundar, Mohammad Amir, Ranjith Subramanian, D. Prabakar + 3 more
'Jayant Giri' 'G. Balachandran' 'Furkan Ahmad'] This work aims to provide an effective hybrid beam forming method with Dual-Deep-Network to overcome overhead for mm-wave massive MIMO systems. In this paper, a Dual-Deep-Network technique is described for the extraction of statistical structures from a hybrid beam…
55relevance
11
BbioRxiv24 Aug 2026
In silico optimization of deep brain stimulation to enhance cognitive control: Improving performance and practicality with a continuous rolling arena
Sumedh S Nagrale, Alik S Widge
The use of Deep Brain Stimulation (DBS) on the ventral capsule/ventral striatum (VCVS) has therapeutic potential for patients with refractory psychiatric disorders, but clinical success is impeded by the need for a time-consuming and trial-and-error process when setting the parameters, this process relying on…
54relevance
12
PPubMed1 Mar 2022
Bioinspired Bare Bones Mayfly Algorithm for Large-Scale Spherical Minimum Spanning Tree Zhang et al. BBMA
Tian Zhang, Yongquan Zhou, Guo Zhou, Wu Deng + 1 more
Mayfly algorithm (MA) is a bioinspired algorithm based on population proposed in recent years and has been applied to many engineering problems successfully. However, it has too many parameters, which makes it difficult to set and adjust a set of appropriate parameters for different problems. In order to avoid…
54relevance

Results for MM algorithm

Efficient ReML inference in variance component mixed models using a Min-Max algorithm Efficient ReML inference using MM algorithm

Unification of Sparse Bayesian Learning Algorithms for Electromagnetic Brain Imaging with the Majorization Minimization Framework

Wideband Waveform Design for Distributed Precision Jamming

Development and Validation of an Algorithm to Identify Patients with Multiple Myeloma Using Administrative Claims Data

Underwater TDOA Acoustical Location Based on Majorization-Minimization Optimization

Learning cognitive maps for vicarious evaluation

Hough Transform-Based Large Dynamic Reflection Coefficient Micro-Motion Target Detection in SAR

Cohort-mean measured macromolecules lead to more robust linear-combination modeling than parameterized and subject-specific ones

Fast and standardized motor-hotspot determination with automated TMS mapping

Spectral energy balancing system with massive MIMO based hybrid beam forming for wireless 6G communication using dual deep learning model

In silico optimization of deep brain stimulation to enhance cognitive control: Improving performance and practicality with a continuous rolling arena

Bioinspired Bare Bones Mayfly Algorithm for Large-Scale Spherical Minimum Spanning Tree Zhang et al. BBMA

Efficient ReML inference in variance component mixed models using a Min-Max algorithm Efficient ReML inference using MM algorithm

Unification of Sparse Bayesian Learning Algorithms for Electromagnetic Brain Imaging with the Majorization Minimization Framework

Wideband Waveform Design for Distributed Precision Jamming

Development and Validation of an Algorithm to Identify Patients with Multiple Myeloma Using Administrative Claims Data

Underwater TDOA Acoustical Location Based on Majorization-Minimization Optimization

Learning cognitive maps for vicarious evaluation

Hough Transform-Based Large Dynamic Reflection Coefficient Micro-Motion Target Detection in SAR

Cohort-mean measured macromolecules lead to more robust linear-combination modeling than parameterized and subject-specific ones

Fast and standardized motor-hotspot determination with automated TMS mapping

Spectral energy balancing system with massive MIMO based hybrid beam forming for wireless 6G communication using dual deep learning model

In silico optimization of deep brain stimulation to enhance cognitive control: Improving performance and practicality with a continuous rolling arena

Bioinspired Bare Bones Mayfly Algorithm for Large-Scale Spherical Minimum Spanning Tree Zhang et al. BBMA