We consider a BitTorrent type file sharing algorithm with randomized chunk copying process. The system functions in completely distributed way without any ’Tracker’, just relying on randomness. In such case the stability becomes an issue. It may happen, say, that some chunk becomes rare. This problem can persist and cause accumulation of peers in the system, resulting in unstable system. The co...

The Peer-to-peer (P2P) computing has been one of the emerging technologies in distributed file sharing. Experimental studies show that for a file download, service capacity fluctuation takes minutes to several hours. For a P2P one of the fundamental performances metric is the average download time. The common approach to analyse the average download time is average service capacity. Heterogenei...

Recently, Memory-based Neural Recommenders (MNR) have demonstrated superior predictive accuracy in the task of sequential recommendations, particularly for modeling long-term item dependencies. However, typical MNR requires complex memory access operations, i.e., both writing and reading via a controller (e.g., RNN) at every time step. Those frequent operations will dramatically increase networ...

Tjong Kim Sang (2000) describes how a systeminternal combination of memory-based learners can be used for base noun phrase (baseNP) recognition. The idea is to generate different chunking models by using different chunk representations. Chunks can be represented with bracket structures but alternatively one can use a tagging representation which classifies words as being inside a chunk (I), out...

1 Introduction In this paper, we explore the use of Support Vector Machines (SVMs) for CoNLL-2000 shared task, chunk identification. SVMs are so-called large margin classifiers and are well-known as their good generalization performance. We investigate how SVMs with a very large number of features perform with the classification task of chunk labelling.

Chunk decomposition plays an important role in cognitive flexibility in particular with regards to representational change, which is critical for insight problem solving and creative thinking. In this study, we investigated the cognitive mechanism of decomposing Chinese character chunks through a parametric fMRI design. Our results from this parametric manipulation revealed widely distributed a...