نتایج جستجو برای: inconsistent training data
تعداد نتایج: 2652078 فیلتر نتایج به سال:
Combining Description Logic (DL) ontologies and nonmonotonic rules has gained in-creasing attention in the past decade, due to the growing range of applications of DLs. A well-known proposal for such a combination are non-monotonic DL-programs, which support rule-basedreasoning on top of DL ontologies in a loose coupling, using a well-defined query interface. How-ever, inconsist...
Dimensions in Data Warehouses (DWs) are usually modeled as a hierarchical set of categories called the dimension schema. To guarantee summarizability, this is, the capability of using pre-computed answers at lower levels to compute answers at higher levels, a dimension is required to be strict and covering, meaning that every element of the dimension must be connected to a unique ancestor in ea...
A paremiologic (study of proverbs) case is presented as a part of a wider project, based on data collected by thousands of interviews made to people from Azores, and involving a set of twenty-two thousand Portuguese proverbs, where we searched for the minimum information needed to identify the birthplace island of an interviewee. The concept of birthplace was extended for all respondents that h...
The six studies found concerning the effect of pure phonemic awareness training (without phonics) on reading comprehension gave a positive but modest overall effect size in favor of phonemic awareness training. Four studies had small samples, two showed no or very small effect sizes, and one inconsistent results. Three involved languages other than English. Such results do not support the popul...
Reasons frequently given for process improvement failure include lack of training, education, awareness of the principles and value of process improvement, or how to do it. Whereas there is a growing body of knowledge regarding process improvement, this information is scattered and sometimes inconsistent. This paper examines issues, challenges and opportunities regarding process improvement edu...
Purpose: This paper proposes a sinogram-consistency learning method to deal with beamhardening related artifacts in polychromatic computerized tomography (CT). The presence of highly attenuating materials in the scan field causes an inconsistent sinogram, that does not match the range space of the Radon transform. When the mismatched data are entered into the range space during CT reconstructio...
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