Large Scale
Large-scale SVD and Manifold Learning
... For large-scale data sets, both the space and time requirements quickly become ...for large-scale problems, the storage and processing costs can nonetheless be ...
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Malware Distribution in Large Scale Network
... ABSTRACT: Malware is a malicious software programs deployed by cyber attackers to compromise computer. The solution to this problem is desperately desired by cyber defenders as the network security community does not yet ...
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Large scale geometry of curve complexes
... Another topic of this thesis is the use of surgery arguments to investigate the large scale geometry of curve graphs and other such graphs. One benefit of such methods is that often the argument is very ...
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Automatic generation of large scale paraphrases
... formulations for a given discourse structure. We have described here the issues that need to be taken into account when turning any NLG sys- tem into a fully-fledged paraphraser. We believe that our approach to ...
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Large Scale Online Readability Assessment
... The internet is an incredible resource for information and learning. By using search engines like Google, information is usually just a click away. Unless you are a child, in which case most of the information on the web ...
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How To Perform A Large Scale Attack On A Large Network
... This exercise does not require Internet access. It is recommended that you, the trainer, carefully read through the handbook to understand what is required from you. The exercise is split into four different parts, ...
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Optimizing the large scale renovation strategy
... a large scale. In order to carry out these renovations on a large scale, an integrated approach is needed whereby whole neighbourhoods can be renovated in a short period of time (BPIE, 2013; ...
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The large scale asset purchases had large international effects
... Reserve’s large scale asset purchases (LSAP) on international long bond yields and exchange rates and then considers whether the observed behavior is consistent with a simple portfolio balance model and ...
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Large-Scale Visual Relationship Understanding
... Large scale visual understanding is challenging, as it requires a model to handle the widely-spread and imbalanced distri- bution of hsubject, relation, objecti ...with large numbers of objects and ...
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The Large Scale Instability in Rotating Fluid with Small Scale Force
... In this paper, we find a new large scale instability in rotating flow forced turbulence. The turbu- lence is generated by a small scale external force at low Reynolds number. The theory is built on ...
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Large Scale Translation Quality Estimation
... This study explores methods for developing a large scale Quality Estimation framework for Ma- chine Translation. We expand existing resources for Quality Estimation across related languages by using ...
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Large Scale Aggregated Sentiment Analytics
... - large) with respect to its performance and adaptability as ...medium scale. Finally, we classified as large scale those algorithms that are scalable, work in an unsupervised way or may ...
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Large-Scale Heterogeneous Feature Embedding
... of large-scale heterogeneous feature ...the large scale issue while maintaining the effectiveness of the joint em- bedding framework? Guided by these questions, we propose a scalable ...
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LARGE-SCALE DOCUMENTARY DICTIONARIES
... The Oxford English Dictionary ([OED]) is not the only monolingual reference dictionary for English covering the general language. The dictionary market for English is by far the most advanced and the most competitive ...
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Large Scale Multiple Kernel Learning
... The WD kernel of degree 20 consist of a weighted sum of 20 sub-kernels each counting matching d- mers, for d = 1, . . . ,20. Using MKL we learned the weighting on the splice site recognition task for one million examples ...
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Large Scale Transductive SVMs
... a large scale training method for TSVMs using the concave-convex procedure (CCCP) (Yuille and Rangarajan, 2002; Le Thi, 1994), expanding on the conference pro- ceedings paper (Collobert et ...
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Large Scale QA SRL Parsing
... In this paper, we demonstrated that QA-SRL can be scaled to large datasets, enabling a new methodology for labeling and producing predicate-argument structures at a large scale. We presented a new, ...
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Large Scale Relation Detection
... The basic approach accommodates any pattern rep- resentation, and in fact we can accommodate non pattern-based learning approaches, such as CRFs, as the primary hypothesis is principally concerned with the number of seed ...
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CogNet: A Large Scale Cognate Database
... In computational linguistics, cognate produc- tion consists of finding for a word in a given lan- guage its cognate pair in another language. State- of-the-art methods (Beinborn et al., 2013; Sen- nrich et al., 2016) ...
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Large Scale Cognate Recovery
... In this paper, we present a system that uses two generative models for large-scale cognate identi- fication. Both models describe the evolution of words along a phylogeny according to automatically learned ...
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