Results 201 to 210 of about 4,090,305 (321)
Data‐driven performance metrics for neural network learning
Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri+2 more
wiley +1 more source
Ground-State Energy Estimation on Current Quantum Hardware through the Variational Quantum Eigensolver: A Practical Study. [PDF]
Belaloui NE+6 more
europepmc +1 more source
Hyperfine Structure of the Ground State ofHe+3by the Ioń-Storage Exchange-Collision Technique [PDF]
H. A. Schuessler+2 more
openalex +1 more source
ABSTRACT Objective The characteristics and utility of composite progression independent of relapse activity (cPIRA; worsening on the Expanded Disability Status Scale [EDSS], or 9‐Hole Peg Test, or Timed 25‐Foot Walk Test) were evaluated as an endpoint in relapsing multiple sclerosis (RMS) trials using the ENSEMBLE (NCT03085810) and pooled OPERA I/II ...
Ludwig Kappos+11 more
wiley +1 more source
Graph Neural Network Determine the Ground State Structures of Boron or Nitride Substitute C<sub>60</sub> Fullerenes. [PDF]
Sai L+5 more
europepmc +1 more source
The ground state energy of a 2-D electron gas [PDF]
A. Isihara, Tadashi Toyoda
openalex +1 more source
ABSTRACT Background Bladder dysfunction affects over 85% of people with multiple sclerosis (PwMS), yet current assessment methods are limited to periodic in‐clinic evaluations or subjective patient reports, failing to capture real‐world symptom fluctuations.
Valerie J. Block+8 more
wiley +1 more source