نتایج جستجو برای: output oriented tasks

تعداد نتایج: 470034  

2011
Simon Butler Michel Wermelinger Yijun Yu Helen Sharp

Identifier names are the main vehicle for semantic information during program comprehension. Identifier names are tokenised into their semantic constituents by tools supporting program comprehension tasks, including concept location and requirements traceability. We present an approach to the automated tokenisation of identifier names that improves on existing techniques in two ways. First, it ...

2010
John S. White Kathryn B. Taylor

Evaluation remains an open and fundamental issue for machine translation (MT). The inherent subjectivity of any judgment about the quality of translation, whether human or machine, and the diversity of end uses and users of translated material, contribute to the difficulty of establishing relevant and efficient evaluation methods. The US Federal Intelligent Document Understanding Laboratory (FI...

Arun B. Rane Vivek K. Sunnapwar

Automobile sector forms the backbone of manufacturing sector. Vehicle assembly line is important section in automobile plant where repetitive tasks are performed one after another at different workstations. In this thesis, a methodology is proposed to reduce cycle time and time loss due to important factors like equipment failure, shortage of inventory, absenteeism, set-up, material handling, r...

Journal: :International Journal of Experimental Education 2023

Journal: :Computer applications in the biosciences : CABIOS 1996
Wolfgang Vahrson Klaus Hermann Jürgen Kleffe Burghardt Wittig

SCL (Sequence Class Library) is a class library written in the C++ programming language. Designed using object-oriented programming principles, SCL consists of classes of objects performing tasks typically needed for analyzing DNA or protein sequences. Among them are very flexible sequence classes, classes accessing databases in various formats, classes managing collections of sequences, as wel...

2016
Linlin Yang Chen Chen Hainan Wang Baochang Zhang Jungong Han

Correlation filters have attracted growing attention due to their high efficiency, which have been well studied for binary classification. However, by setting the desired output to be a fixed Gaussian function, the conventional multi-class classification based on correlation filters becomes problematic due to the under-fitting in many real-world applications. In this paper, we propose an adapti...

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