in the classical data envelopment analysis (dea) models, inputs and outputs are assumed as known variables, and these models cannot deal with unknown amounts of variables directly. in recent years, there are few researches on handling missing data. this paper suggests a new interval based approach to apply missing data, which is the modified version of kousmanen (2009) approach. first, the prop...

The missing data problem, i.e., the intensities at the center of diffraction patterns cannot be experimentally measured, is currently a major limitation for wider applications of coherent diffraction microscopy. We report here that, when the missing data are confined within the centrospeckle, the missing data problem can be reliably solved. With an improved instrument, we recorded 27 oversample...

Maintaining an upright stance represents a complex task, which is achieved by integrating sensory information from the visual, vestibular and somatosensory systems. When one of these sensory inputs becomes unavailable and/or inaccurate and/or unreliable, postural control generally is degraded. One way to solve this problem is to supplement and/or substitute limited/altered/missing sensory infor...

Data sparsity is an emerging real-world problem observed in a various domains ranging from sensor networks to medical diagnosis. Consecutively, numerous machine learning methods were modeled to treat missing values. Nevertheless, sparsity, defined as missing segments, has not been thoroughly investigated in the context of time-series classification. We propose a novel principle for classifying ...

Data sparsity is an emerging real-world problem observed in a various domains ranging from sensor networks to medical diagnosis. Consecutively, numerous machine learning methods were modeled to treat missing values. Nevertheless, sparsity, defined as missing segments, has not been thoroughly investigated in the context of time-series classification. We propose a novel principle for classifying ...

Relationships between information theory and statistical physics have been recognized over the last few decades. One such aspect is identifying structures of optimization problems pertaining to certain information-theoretic settings and drawing analogy to parallel structures arising in statistical physics, and then borrowing statistical mechanical insights, as well as powerful analysis techniqu...

Background: The aim of this study was to compare the sperm protein profile between oligo- and normozoospermic patients with varicocele. Materials and Methods: Sperm samples of 20 normozoospermic and 20 oligozoospermic patients with varicocele were characterized using two dimensional electrophoresis (group 1 and group 2, respectively). Differences in protein expression were established using gel...