### Some articles on *model, parameters, models, parameter, model parameters*:

Fluorescence Recovery After Photobleaching - Applications Outside The Membrane - Diffusion and Reaction

... more complex behavior implies that a

... more complex behavior implies that a

**model**with several**parameters**is required to describe the data**models**with only either a single diffusion constant D or a single ... There are**models**with both diffusion and reaction ... This is in three-**parameter**(on-rate constant, off-rate constant and diffusion constant) fits ...PSRK -

... The integrity of the

**Model Parameters**... The integrity of the

**model**can be improved if the acentric factor is replaced by Mathias-Copeman constants which have been fitted to experimental vapor pressure data of pure ... The mixing rule uses UNIFAC which needs a variety of UNIFAC-specific**parameters**... Aside from some**model**constants, the most important**parameters**are the group interaction**parameters**--- these are obtained from parametric fits to experimental vapor-l ...One-shot Learning - Background

... schemes, one-shot learning involves three main challenges " Representation How should we

... schemes, one-shot learning involves three main challenges " Representation How should we

**model**objects and categories? Learning How may we acquire such**models**? Recognition Given a new image, how ... Knowledge transfer by**model parameters**One set of algorithms for one-shot learning achieves knowledge transfer through the reuse of**model parameters**, often exploiting the similarity between ... classes are learned using transformations of**model parameters**from the previously learnt classes or selection relevant**parameters**for a classifier as in M ...Maximum Likelihood

... In statistics, maximum-likelihood estimation (MLE) is a method of estimating the

... In statistics, maximum-likelihood estimation (MLE) is a method of estimating the

**parameters**of a statistical**model**... When applied to a data set and given a statistical**model**, maximum-likelihood estimation provides estimates for the**model**'s**parameters**... MLE would accomplish this by taking the mean and variance as**parameters**and finding particular parametric values that make the observed results the most probable (given the ...Airborne Particulate Radioactivity Monitoring - Dynamic Response of CPAMs -

... The

**Model Parameters**... The

**parameters**used in these**models**are summarized in this list Time interval (t) time measured from start of concentration step Concentration (Q0) activity / volume assumed constant over the interval Decay ...### Famous quotes containing the words parameters and/or model:

“What our children have to fear is not the cars on the highways of tomorrow but our own pleasure in calculating the most elegant *parameters* of their deaths.”

—J.G. (James Graham)

“She represents the unavowed aspiration of the male human being, his potential infidelity—and infidelity of a very special kind, which would lead him to the opposite of his wife, to the “woman of wax” whom he could *model* at will, make and unmake in any way he wished, even unto death.”

—Marguerite Duras (b. 1914)

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