نتایج جستجو برای: performance of attributes
تعداد نتایج: 21229153 فیلتر نتایج به سال:
Background: Nonmarket stated preferences valuation, especially discrete choice experiments (DCEs), is one of the commonly used techniques in the health sector. The primary purpose of this approach is to help select attributes and attributes-levels that are able to properly describe health care products or services. This study aimed at developing attributes and attributes-levels for basic health...
This paper presents an algorithm for jointly learning a set of mid-level attributes from an image ensemble by locating clusters of dependent attributes. Human describable attributes are an active research topic due to their ability to transfer between domains, human understanding, and improvement to identification performance. Joint learning may allow for enhanced attribute classification when ...
It is well established that bitmap indices are efficient for read-only attributes with low attribute cardinalities. For an attribute with a high cardinality, the size of the bitmap index can be very large. To overcome this size problem, specialized compression schemes are used. Even though there are empirical evidences that some of these compression schemes work well, there has not been any sys...
In this paper we evaluate a model for temporal data utilizing the benefits of object-relational database systems (ORDBS). In particular we show how attribute timestamping can be efficiently implemented in state-of-theart ORDBS. The attribute timestamping concept is based on introducing user-specific types for temporal versions of datatypes. Moreover on the physical level we make use of user-def...
The LCx HCV RNA quantitative assay (Abbott Laboratories, North Chicago, IL) is designed to use competitive reverse transcriptase-polymerase chain reaction (RT-PCR) and microparticle enzyme immunoassay (MEIA), in combination with a modified Qiagen sample preparation method, to measure the level of hepatitis C virus (HCV) in human plasma and serum. The assay provides quantitative results in inter...
A constructive induction model using genetic programming is presented. The model evolves new attributes starting from a random population of possible attributes constructed as functions of the original attributes. The model is tested on hard supervised learning problems and its performance is compared with backpropagation and C4.5. The performance of the system on learning incomplete 4-bit pari...
The study examined the effect of firms specific attributes and financial performance quoted conglomerates companies in Nigeria. Secondary data were sourced through published annual reports sampled for period under review 2015-2021. Panel extracted analysed using multiple regression technique after conducting series robustness checks to ascertain validity. Findings from reveal that firm size has...
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