Sentence examples for unsupervised development from inspiring English sources

The artist Mary Ellen Carroll has done the architectural equivalent in a conceptual piece called "Prototype 180," which sought to revolutionize the way a city treats its neighborhoods The project is set in Houston, a city whose zoning laws make it susceptible to unchecked and unsupervised development.

We conjecture that the main computational goal of the ventral stream of visual cortex is to provide a hierarchical representation of new objects/images which is invariant to transformations, stable, and selective for recognition and show how this representation may be continuously learned in an unsupervised way during development and visual experience.

In this case, velocity controlled oscillator inputs with preferred directions at multiples of 60°, as could be selected by unsupervised Hebbian learning during development [93,95], would sum together to produce the characteristic grid-like firing patterns.

Our attempt on unsupervised fold recognition required the development of a reliable scoring of a threading hit.

Analysis Finding functional modules of co-regulated genes during the course of development with an unsupervised learning method is a crucial initial step in the large scale analysis of developmental processes.

The present study involved the development of an automated unsupervised nuclear algorithm to objectively assess the ER and PR expression levels in 743 breast tumours.

None of the trials utilized individual coaching by a qualified exercise professional, and the development of an individualized unsupervised exercise plan.

Similarly, the simulations and vascular development example make clear that unsupervised approaches ignore effects of study design on expression data.

This is the essence of all unsupervised learning rules a mechanism for the development of input selectivity such as receptive fields (Bienenstock et al. 1982 ; Miller et al. 1989 ), in the presence of strong input features.

Therefore, our contribution to the analysis of monaural signals is the development of a percussive/harmonic separation using an unsupervised NMF approach.

Our model consists of a hierarchy of Grow-When-Required (GWR) networks that learn prototypical representations of body motion patterns and objects, accounting for the development of action-object mappings in an unsupervised fashion.