Results 101 to 110 of about 172,692 (312)
Correlational parameter tuning by genetic meta-algorithm [PDF]
, 2000 The general problem of an off-line parameter tuning in the Binary Genetic Algorithm (BGA) is introduced. An example of such a tuning: a class of Correlational Tuning Methods (CTMs) is proposed.
Kosiński, W., Kieś, P.
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Tuning parameter selection in penalized likelihood methods [PDF]
, 2014 129 σ.Βασικός στόχος της στατιστικής είναι η εκτίμηση και η περιγραφή της σχέσης εξάρτησης μεταξύ μεταβλητών. Μάλιστα, τις περισσότερες φορές η σχέση είναι στοχαστική, γεγονός που δυσκολεύει την επιλογή του βέλτιστου μοντέλου.
Μπουλουγούρη, Χριστίνα Ν. +1 more
core +1 more source
Soft Mechanical‐Electrical Logic Using Liquid Metal‐Filled 3D‐Printed Architectures
Advanced Engineering Materials, EarlyView.We present 3D‐printed soft mechanical–electrical logic elements that use liquid metal–filled silicone tubes actuated by thermoplastic polyurethane/polylactic acid (TPU/PLA) architectures to produce Boolean operations. Complementary normally open and normally closed unit cells perform repeatable binary transitions and can be combined into more complex ...
Christoph Lehmann +2 more
wiley +1 more source
Optimizing Specific and Shared Parameters for Efficient Parameter Tuning
CoRRFoundation models, with a vast number of parameters and pretraining on massive datasets, achieve state-of-the-art performance across various applications. However, efficiently adapting them to downstream tasks with minimal computational overhead remains a challenge. Parameter-Efficient Transfer Learning (PETL) addresses this by fine-tuning only a small
Van-Anh Nguyen +4 more
openaire +2 more sources
Recent Development in Automatic Parameter Tuning for Metaheuristics [PDF]
, 2010 Parameter tuning is an optimization problem with the objective of finding good static pa-rameter settings before the execution of a metaheuristic on a problem at hand.
Dobslaw, Felix,
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Advanced Engineering Materials, EarlyView.Scandium (Sc)‐doped AlCoCrFeMo HEA coatings are fabricated via flame spraying with 0.1, 0.3, and 0.5 wt% Sc additions. Among these, the HEA‐Sc0.3 coating exhibits the highest corrosion resistance, indicated by a more positive corrosion potential and lower current density.
Pankaj Kumar +7 more
wiley +1 more source
QuadTune version 1: a regional tuner for global atmospheric models [PDF]
Geoscientific Model DevelopmentWhen a new, better-formulated physical parameterization is introduced into a global atmospheric model, aspects of the global model solutions are sometimes degraded.
V. E. Larson +7 more
doaj +1 more source
Hyper-parameters and parameter ranges used for parameter tuning on validation set. [PDF]
, 2019 Hyper-parameters and parameter ranges used for parameter tuning on validation set.
Hiroshi Ishikawa (282324) +5 more
core +1 more source
Cathodic Cage Plasma Deposition of Nanostructured Cu–Fe–Se Coatings on Poly(methyl Methacrylate)
Advanced Engineering Materials, EarlyView.Nanostructured Cu–Fe–Se coatings are deposited on PMMA by a modified cathodic cage plasma process, enabling low‐temperature deposition on polymer substrates. A transition from discontinuous to compact morphology is observed with temperature, with optimal properties at 200°C, where improved CuFeSe2‐type bonding, lowest sheet resistance, and favorable ...
V. S. S. Sobrinho +8 more
wiley +1 more source
Efficient learning methods to tune algorithm parameters [PDF]
This thesis focuses on the algorithm configuration problem. In particular, three efficient learning configurators are introduced to tune parameters offline. The first looks into metaoptimization, where the algorithm is expected to solve similar problem
El-Omari, Jawad A.
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