In this paper we investigate image classification with computational resource limits at test time. Two such settings are: 1. anytime classification, where the network’s prediction for a test example is progressively updated, facilitating the output of a prediction at any time; and 2. budgeted batch classification, where a fixed amount of computation is available to classify a set of examples th...

We propose a resource-based Named Entity Classification (NEC) system, which combines named entity extraction with simple language-independent heuristics. Large lists (gazetteers) of named entities are automatically extracted making use of semi-structured information from the Wikipedia, namely infoboxes and category trees. Languageindependent heuristics are used to disambiguate and classify enti...

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There are now a vast array of heterogeneous cloud service resources, which makes it difficult to identify suitable services for the various types of cloud users. A classification of cloud service resources would help users find suitable cloud services more easily. We propose such a classification strategy, which has two parts. First, we improve the original naive Bayesian classification algorit...

Computing systems continue to evolve, resulting in increased performance when processing workloads large data centers due the virtualization benefits. This technology is key factor that allows multiple applications share resources, thereby enhancing overall hardware utilization of cloud computing environments. However, cloud-services contending for shared resources are susceptible cross-applica...

there are many approaches in economic literature for investigation of firm performance. in general, those theories very useful for investigation the nature and role of competitive advantage. resource based view, dynamic capability, entrepreneurial theory, neoclassic theory, industrial organization approach are some of those theories. todays, banks try to attract customers through various new me...