Sentence examples for classification learning from inspiring English sources

In particular, NNs are especially popular for tasks involving classification, learning, or optimization.

However, such sequential algorithms cannot always guarantee the simultaneous optimality for both clustering and classification learning.

We further investigated whether new auditory classification learning can benefit the memory of a recently learned classification task by testing task-A performance on days 1 and 5.

To date, most algorithms generally treat clustering learning and classification learning in a sequential or two-step manner, i.e., first execute clustering learning to explore structures in data, and then perform classification learning on top of the obtained structural information.

Our results do not support the proposal that the striatum plays a specific role in probabilistic classification learning with feedback.

We deduce that there can be no combinatorial dimension that characterizes learnability in that model the way the VC dimension characterizes binary classification learning.

Know your Risk Classification: Learn what kinds of information belong in which categories: High, Moderate, and Low Risk (previously Prohibited, Restricted, and Confidential information).

Traditional single-label classification learns from a set of cases, each associated with a single unique label from a set (L), (left| L right| > 1) [22].

Supervised classification learns model parameters from labeled training data in one step, then attempts to assign labels to new data in a separate step.

The classification approach builds on random forest classification with learning data extracted from higher resolution land cover maps.

This letter presents a minimum classification error learning formulation for a single-layer feedforward network (SLFN).