Pyry-Antti Siitari

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In this paper, we propose the use of lexicographic parametric programming to recognize efficient units in Data Envelopment Analysis (DEA). By using the parameterization of the rhs vector of the envelopment problem, we obtain the efficiency curve which is traversing through the efficient frontier from unit to unit. The units in the basis with any parameter(More)
Most of the existing information retrieval systems are based on bag-of-words model and are not equipped with common world knowledge. Work has been done towards improving the efficiency of such systems by using intelligent algorithms to generate search queries, however, not much research has been done in the direction of incorporating human-and-society level(More)
The use of domain knowledge is generally found to improve query efficiency in content filtering applications. In particular, tangible benefits have been achieved when using knowledge-based approaches within more specialized fields, such as medical free texts or legal documents. However, the problem is that sources of domain knowledge are time consuming to(More)
In this paper, we propose the use of a dimensional decomposition procedure together with lexicographic parametric programming to reduce computational burden when identifying the efficient decision making units in Data Envelopment Analysis (DEA). The use of lexicographic parametric programming makes it possible to develop an efficient algorithm for the(More)
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