Sentence examples for estimation of learning from inspiring English sources

The proposed SpCoA++ method performs an iterative estimation of learning spatial concepts and updating a language model using place information.

To explain these results, we propose dual underlying mechanisms of reward-driven perceptual learning: one mechanism that operates 'automatically', free from goal-directed processes, and another mechanism that involves more 'top-down', goal-directed computations, and requires conscious estimation of learning contingencies.

("I have more just cause to make a pitiful defense of poor Poetry, which from almost the highest estimation of learning, is fallen to be the laughing stock of children," Sidney began the "Defense".

This nomenclature is due to the estimation of the learning state variable from the perspective of an ideal observer: the value of the learning state process at each trial is estimated after seeing the outcomes of all of the trials in the experiment (Smith et al., 2004).

Therefore the MAP estimation of dictionary learning task is (16) min A, Y f (A, Y ) = ∑ i = 1 n 1 2 d i - A y i 2 2 + ∑ i = 1 k α 2 a i 2 2 + ∑ i = 1 n λ y i 1, where α = f and λ = ϕ γ.

Since learning cannot occur in this phase, behavior depends entirely on the decision component, and a comparison with the previous phase permits an estimation of the learning component.

Second, we have used a single operator to minimize inter-observer bias and hence to test the new statistical method for the estimation of the learning curve in a rather small group of healthy volunteers.

One educator spoke of the problem in determining the direction of teaching because of an inadequate estimation of the learning level and thinking ability of the students.

In this regard, the proposed LLNFM-based methodology reached better results for running-times, as well as root mean square error (RMSE) estimations in learning and testing processes of training/checking data-set in comparison with those of the proposed adaptive neuro-fuzzy inference system (ANFIS) based methodology.

All analyses were conducted using custom software written in Matlab (MathWorks, Natick, MA), except for the estimation of the behavioral learning trial, as explained in section 7 "Behavioral learning trial estimate".

Allowing participants to become familiar with CBC exercise, e.g., by incorporating mock CBC questions early on, may improve estimation of utilities by overcoming learning bias.