Continual Learning for Multimodal Data Fusion of a Soft Gripper
Advanced Robotics Research, EarlyView.Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
A simple procedure for the comparison of covariance matrices
BMC Evolutionary Biology, 2012 Background Comparing the covariation patterns of populations or species is a basic step in the evolutionary analysis of quantitative traits. Here I propose a new, simple method to make this comparison in two population samples that is based on comparing ...
Garcia Carlos
doaj +1 more source
Portfolio risk measurement: the estimation of the covariance of stock returns [PDF]
A covariance matrix of asset returns plays an important role in modern portfolio analysis and risk management. Despite the recent interests in improving the estimation of a return covariance matrix, there remain many areas for further investigation. This
Liu, Lan
core
Force–Displacement Characterization of PNIPAM Microactuators
Advanced Robotics Research, EarlyView.A method to experimentally establish a force–displacement diagram of poly(N‐isopropyl acrylamide) (PNIPAM) microactuators, printed by 2PP, is presented herein. PNIPAM is a hydrogel whose volume and stiffness change with temperature due to the absorption or release of water.
Manon Cassignol +4 more
wiley +1 more source
An Expectation-Maximization Algorithm for Combining a Sample of Partially Overlapping Covariance Matrices. [PDF]
Axioms, 2023 Akdemir D, Somo M, Isidro-Sanchéz J.
europepmc +1 more source
The polynomial and the Poisson measurement error models: some further results on quasi score and corrected score estimation [PDF]
, 2005 The asymptotic covariance matrices of the corrected score, the quasi score, and the simple score estimators of a polynomial measurement error model have been derived in the literature.
Schneeweiß, Hans
core +1 more source
Model Predictive Control for Magnetically Actuated Cellbots
Advanced Robotics Research, EarlyView.Magnetically actuated cellbots, formed by embedding microrobots in living cells, are steered along precise paths using a model predictive controller enhanced with a Gaussian process disturbance estimator. The data‐efficient method calibrates each cellbot individually, cutting modeling error by roughly 60% and enabling accurate navigation through cell ...
Mehdi Kermanshah +8 more
wiley +1 more source
On Information Rank Deficiency in Phenotypic Covariance Matrices. [PDF]
Syst Biol, 2022 O'Keefe FR, Meachen JA, Polly PD.
europepmc +1 more source
Consensus Formation and Change are Enhanced by Neutrality
Advanced Science, EarlyView.Neutral agents are shown to enhance both the formation and overturning of consensus in collective decision‐making. A general mathematical model and experiments with locusts and humans reveal that neutrality enables robust consensus via simple interactions and accelerates consensus change by reducing effective population size.
Andrei Sontag +3 more
wiley +1 more source
Shrinkage estimators of large covariance matrices with Toeplitz targets in array signal processing. [PDF]
Sci Rep, 2022 Zhang B, Yuan S.
europepmc +1 more source