At a behavioral level, this would be consistent with an increase in rote-learning and instance-learning, and a decrease in generalization and prototype extraction (Cohen, 1994; Gustafsson, 1997; Beversdorf et al., 2000; McClelland, 2000; U. Frith, 2003).
One popular approach to tackling this problem is to start with an oversized network and then prune it to a smaller size so as to achieve less computational complexity and better performance in generalization.
The results demonstrate that the SVM-based method provides superior performance in generalization and accuracy and can be a powerful tool for nonlinear system simulation and prediction.
However, the methodology is completely dependent upon the production of chemical crosslinks and technical limitations of available crosslinkers have proven problematic in generalization and automation of the method for the determination of the structures of complete proteomes.
While many other methods, such as expert system and artificial neural network, have been used in fault monitoring and diagnosis, SVM shows its advantage in generalization performance and in case of small sample.
Even if I could teach them something new about human nature, any attempt to explain to my in-laws why men do these things — however sociological, evolutionary-biological, or otherwise couched in generalization and detachment — would be extremely unwise.
These insights are useful in generalization and systematization of CRF1 antagonist design to develop future biological end points.
Configural phenomena of combinations of color, number and position may become apparent in generalization tests which ask whether the bee transfers a learned sequential pattern more strongly to one or another test pattern that was not experienced during training.
Decades of similar commissions premised on the racial model instruct that these so-called experts on race and schooling will trade in generalizations and the like about what it means to be "black" -- always ending up defined as "at risk"students with "different" learning styles, learning curves, and dialects.
Subsequently, there is loss in generalization to new data.
