Sentence examples for classification estimation from inspiring English sources

It is now well established that identification of VFs change the patient's diagnostic classification, estimation of fracture risk, and influence the decision for a pharmacological intervention as treatment of patients with prevalent VFs reduces the risk of future fractures even when the baseline T-score is above the osteoporosis diagnostic cutpoint of -2.5.

For substances that are already established as human carcinogens, for example using the International Agency for Research on Cancer IARCclassificationion, estimation of attributable burden provides useful indicators of the contribution of different risk factors and has become widely used in public health research (Lopez et al, 2006).

Notwithstanding these limits, these finding are of clinical importance, because the prevalence of VFx predicts future fractures regardless of BMD (5) and because the recognition of VFx by imaging of the spine may change the patient diagnostic classification, estimation of fracture risk, and threshold for pharmacological intervention.

The optimal partition is performed using a classification-estimation (of densities -maximization-estimation (of parameters) algorithm.

Such image filters have been successfully used as a basis for expressing a large number of visual operations in computer vision, regarding feature detection, feature classification, motion estimation, object recognition, spatio-temporal recognition, and shape estimation.

Naghibi and Behnia[18] have investigated the problem of waveform design for target classification and estimation in the presence of clutter using a MMSE estimator for widely separated and closely spaced antenna configurations.

However, classification and estimation of the signals are inadequate.

The classification and estimation models employed are based on the partial least squares regression (PLS) algorithm.

The crack detection, classification and estimation of the geometrical characteristics, for different classes of defects, are described in the paper.

Multi-layer Perceptron (MLP) with back-propagation learning can solve a wide range of classification and estimation problems.

One of the well-known topologies of NN is the multilayer perception (MLP) which is used for classification and estimation problems.