In this paper we describe our recent efforts to improve acousticphonetic modeling by developing sets of heterogeneous, phoneclass-specific measurements, and combining these diverse measurements into a probabilistic classification framework. We first describe a baseline classifier using homogeneous measurements. After comparing selected sub-tasks to known human performance, we define sets of pho...

The observation that tumor cells of some neoplasms display major histocompatibility complex (MHC) class II molecules may be of functional significance, influencing the progression of malignancy by allowing the cancer cells to present antigen to the immune system. In the normal cervix, class II molecules are expressed by columnar but not squamous epithelium. The pattern of MHC class II expressio...

The goal of the proposed research is to improve the performance of Hadoop-based software running on a heterogeneous cluster. My approach lies in the intersection of machine learning, scheduling and diagnosis. We mainly focus on heterogeneous Hadoop clusters and try to improve the performance by implementing a more efficient scheduler for this class of cluster.

Abstract Our paper investigates how the heterogeneous structure of middle class in sub-Saharan Africa influences its consumption financial services, identifying drivers for their selection these services. Implications marketing practice are outlined. This research is an across-country city-based exploratory study ten cities where structured questionnaires were used interviews to obtain informat...

Although sparsity-based algorithm has emerged as an extremely powerful tool for information integration, it neglects the relationship of heterogeneous features and coding coefficients from the same class in the training stage, which may cause declining of the classification performance. In this paper, we focus on information integration for groundbased cloud classification in heterogeneous sens...

Wind farms are typically located at high latitudes, resulting in a risk of blade icing. Data-driven approaches offer promising solutions for icing detection, but they rely on considerable amount data. Data exchange between multiple wind would improve the performance detection models, due to spatio-temporal dependencies capable reflecting different meteorological conditions. The traditional cent...