• No results found

Fine tuning the initial electron parameters

An automated system for program parameters fine tuning in the cloud

An automated system for program parameters fine tuning in the cloud

... is fine tuning an algorithm to make it work better in some sense, for example, ...coded parameters inside a program, smart analysis of the program's source code, adjusting parameters inside ...

6

Fine-tuning algorithm parameters using the design of experiments approach

Fine-tuning algorithm parameters using the design of experiments approach

... parameter tuning algorithm, design of experiments, response surface ...underlying parameters are set either arbitrarily without explanation, or conveniently choose parameter values that have been reported ...

16

Queue protection parameters' fine-tuning for variable speed limits

Queue protection parameters' fine-tuning for variable speed limits

... the parameters and thresholds that are involved in the QP algorithm, which can significantly affect the performance of the VSL system, few performance measures are ...

13

The fine-tuning argument

The fine-tuning argument

... the fine-tuning in the world as well as the existence of our earth with its relatively favorable conditions (Ward & Brownlee, 2000), evolution has been walking a tightrope so as to produce as much as ...

16

Data Fine-Tuning

Data Fine-Tuning

... to fine-tune the models for specific ...Data Fine-tuning to improve the classification accuracy of a given model without changing the parameters of the ...

8

Investigating Effective Parameters for Fine tuning of Word Embeddings Using Only a Small Corpus

Investigating Effective Parameters for Fine tuning of Word Embeddings Using Only a Small Corpus

... Abstract Fine-tuning is a popular method to achieve better performance when only a small target corpus is ...requires tuning of a number of meta- parameters and thus it might carry risk of ...

8

Understanding and fine tuning molecular recognition

Understanding and fine tuning molecular recognition

... tautomer. Electron-withdrawing substituents enhance co- crystallization whereas electron-donating substituents prevent co-crystal ...with electron withdrawing groups except 1,3-di(o-nitrophenyl)ureas ...

161

Tuning the Parameters of a Loading Algorithm

Tuning the Parameters of a Loading Algorithm

... the tuning process, as statistically inferior configurations can be eliminated at an early stage, wasting no more computation ...our initial LHS, which is just a tiny fraction of our parameter space, for ...

75

Tuning parameters in random forests

Tuning parameters in random forests

... The first parameter we focus on is the number mtry of preselected directions along which the splitting criterion is optimized. To the best of our knowledge, there is no theoretical results highlighting the benefits of ...

19

Transfer Fine Tuning: A BERT Case Study

Transfer Fine Tuning: A BERT Case Study

... 5.3 Fine-Tuning on Downstream Tasks Once trained, our model can be used in exactly the same manner as the pre-trained BERT ...For fine-tuning our models and replicating BERT’s re- sults under ...

12

IMHO Fine Tuning Improves Claim Detection

IMHO Fine Tuning Improves Claim Detection

... The experiments were carried out in a 10-fold cross-validation setup with fixed splits into train- ing and test data and the F1 scores are averaged over each of the folds. Each model was run 10 times to account for ...

6

Statistical methods for parameter fine-tuning of metaheuristics

Statistical methods for parameter fine-tuning of metaheuristics

... Abstract Metaheuristics are an approximate method widely used to solve many hard optimization problems in a multitude of fields. They depend on a variable number of parameters. Despite the fact that they are ...

75

Universal Language Model Fine tuning for Text Classification

Universal Language Model Fine tuning for Text Classification

... for fine-tuning the classifier, we augment the pretrained language model with two additional linear ...the parameters in these task-specific classi- fier layers are the only ones that are learned ...

12

Regularization techniques for fine tuning in neural machine translation

Regularization techniques for fine tuning in neural machine translation

... baseline fine-tuning models use the same hyper- parameters, except that the learning rate is 4 times smaller and the validation frequency for early stopping 4 times ...baseline ...

6

Quaternion-based deep belief networks fine-tuning

Quaternion-based deep belief networks fine-tuning

... In this work, we initialized all harmonies with random values for the further application of the optimization techniques. In this work, we used the following ranges concerning the parameters: n ∈ [5, 100], η ∈ ...

24

CiteSeerX — ESP needs washback and the fine tuning of driving instruction

CiteSeerX — ESP needs washback and the fine tuning of driving instruction

... group of American workers, who had been recently transferred from various U.S. branches of the same company and who needed to obtain a Japanese driver’s license to allow them to commute to the Japanese office during ...

13

A successful pregnancy following SEM fine tuning of hormonal priming

A successful pregnancy following SEM fine tuning of hormonal priming

... In summary, the results of the first two biopsies demon- strated an epithelium that was hypotrophic or represent- ative of an E 2 only effect. This suggests that the epithelium was understimulated prior to the commence- ...

6

Fridge: focused fine-tuning of ridge regression for personalized predictions

Fridge: focused fine-tuning of ridge regression for personalized predictions

... estimated tuning parameter on an inverse scale for CV, fridge-ridge and the oracle fridge, and demonstrates that fridge-ridge estimates well the large oracle tuning parameters, but is less precise ...

18

microRNAs: fine tuning of erythropoiesis

microRNAs: fine tuning of erythropoiesis

... This shows how this miRNA can fine-tune gene expression at late stages of erythroid differentiation, as it is known that GATA-2 is gradually replaced by GATA-1 in the terminal stages [r] ...

13

Configuration and fine tuning Guide

Configuration and fine tuning Guide

... As your server is configured in Production Mode, the modules will be deployed only during the startup of the application; whereas when Development Mode is configured, t[r] ...

80

Show all 10000 documents...

Related subjects