Sentence examples for memory classification and from inspiring English sources

True presentations are distinguished from those that are false by the use of memory, classification and comparison.

This study could be extended by resolving the population-averaged behavior analyzed in this paper into single-cell measurements and memory classification and quantification.

Figure 2 Flow chart for the semiconductor memory classification according to their functional criteria.

At the neurobiological level of memory classification, a distinction has traditionally been made between a hippocampus-dependent memory system subserving explicit (declarative) memory formation, and a more heterogeneous hippocampus-independent system underlying different types of implicit (procedural) memory formation [6] [11].

Using the Pellet OWL reasoner [ 41] on hardware consisting of two Intel® Xeon® 2.4 GHz quad-core CPUs with 24 GB memory, classification of the BioModels knowledge base requires more than one hour while the time required to answer queries depends on the query's complexity and ranges between 1 and 30 minutes in our experiments.

For most of the tasks, including visual analysis, fact retrieval, phonological working memory, semantic classification and comparison, and morpho-lexical knowledge, data was collected from healthy control participants in the same manner as for the patients.

This course will introduce students to the common algorithms: association and sequence rules discovery, memory-based reasoning, clustering, classification and regression decision trees, logistic models, and neural network models.

The electrophysiological studies by Dehaene and coworkers [2] and Proverbio and coworkers [4] found a larger left temporal (250 ms) negativity to proper than common nouns, in a word classification and a memory retrieval task, respectively.

We present simulations of memory capacity and classification ability of the DELTRON for different random spatio-temporal spike patterns.

A joint classification and regression multitask learning model is utilized to select the biomarkers correlated to memory scores and disease categories simultaneously.

The principles of classification and a classification of mammals.