Enumeration algorithms for FDH directional distance functions under different returns to scale assumptions
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DOI: 10.1007/s10479-018-2791-5
Abstract: Computing directional distance functions for a free disposal hull (FDH) technology in general requires solving nonlinear mixed integer programs. Cherchye et al. (J Product Anal 15(3):201–215, 2001) provide an enumeration algorithm for the FDH directional… read more here.
Keywords: directional distance; enumeration algorithms; fdh directional; returns scale ... See more keywords
Distance Functions Based on Multiple Types of Weighted Steps Combined with Neighborhood Sequences
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DOI: 10.1007/s10851-018-0805-1
Abstract: In this paper, we present a general framework for digital distance functions, defined as minimal cost paths, on the square grid. Each path is a sequence of pixels, where any two consecutive pixels are adjacent… read more here.
Keywords: functions based; types weighted; distance; based multiple ... See more keywords
Learning Bregman Distance Functions for Structural Learning to Rank
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DOI: 10.1109/tkde.2017.2654250
Abstract: We study content-based learning to rank from the perspective of learning distance functions. Standardly, the two key issues of learning to rank, feature mappings and score functions, are usually modeled separately, and the learning is… read more here.
Keywords: learning rank; distance; structural learning; distance functions ... See more keywords