Sentence examples for identifying the computational from inspiring English sources

Computational learning theory is a new and rapidly expanding area of research that examines formal models of induction with the goals of discovering the common methods underlying efficient learning algorithms and identifying the computational impediments to learning.

The criticism follows from identifying the computational worlds with decoherent worlds.

We also identify the computational complexity of recognizing symbol translations from those families.

We identify the computational complexity of conditional independence and of all these related independence relations.

Our focus is on exploring the algorithmic and architectural design spaces of 3G and 4G systems to identify the computational and geometric structures shared by diverse coding schemes, services and hardware platforms, and the efficient and flexible integration of these structures on innovative extensible hardware.

For this purpose, we had to identify the computational challenges of the Persian language, especially for text processing and extract statistical and grammatical language models for the Persian language.

Here, we perform a profiling analysis to identify the computational bottlenecks in the non-SSE mmc implementation.

Our research focuses on identifying the best computational models for the underlying molecular physiology of human disease.

Whereas co-expression networks with biological relevance were identified, the high computational requirement of this analysis was a major limitation.

Eight genes out of the 12 selected genes had promoter elements identified by the primer extension assays to match those identified by the computational predictions, and six of these eight genes were found to be regulated by promoter sequences highly similar to other bacterial RpoN promoter elements (Table 3).

My research investigates how this is possible, first identifying the nature of the underlying computational problems, and then examining whether we can explain aspects of human behavior as the result of approximating optimal solutions to those problems.