High‐content screening is important in drug discovery. The use of images of living cells as the basic unit for molecule discovery can aid the identification of small compounds altering cellular phenotypes. As such, e...
High‐content screening is important in drug discovery. The use of images of living cells as the basic unit for molecule discovery can aid the identification of small compounds altering cellular phenotypes. As such, efficient computational methods are required for the rate limiting task of cellular phenotype identification. In this paper we first investigate the effectiveness of a feature description approach by combining Haralick texture analysis with Curvelet transform and then propose a new ensemble approach for classification. The ensemble contains a set of base classifiers which are trained using random projection (RP) of original features onto higher‐dimensional spaces. With Classification and Regression Tree (CART) as the base classifier, it has been empirically demonstrated that the proposed Random Projection Forest ensemble gives better classification results than those achieved by the Boosting, Bagging and Rotation Forest algorithms, offering a classification rate ∼88% with smallest standard deviation, which compares sharply with the published result of 82%.
Progress in understanding multisensory integration in human have suggested researchers that the integration may result into the enhancement or depression of incoming *** is evident based on different psychological and...
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Progress in understanding multisensory integration in human have suggested researchers that the integration may result into the enhancement or depression of incoming *** is evident based on different psychological and behavioral experiments that stimuli coming from different perceptual modalities at the same time or from the same place,the signal having more strength under the influence of emotions effects the response *** research inmultisensory integration has not studied the effect of emotions despite its significance and natural influence in multisensory enhancement or ***,there is a need to integrate the emotional state of the agent with incoming stimuli for signal enhancement or *** this study,two different neural network-based learning algorithms have been employed to learn the impact of emotions on signal enhancement or *** was observed that the performance of a proposed system for multisensory integration increases when emotion features were present during enhancement or depression of multisensory signals.
Position based routing algorithms use the knowledge of the position of nodes for routing of packets in mobile ad-hoc networks. Previously proposed position based routing algorithms may fail to find a route from a sour...
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The development of microarray-based high-throughput gene expression has led to the hope that this technology could provide an efficient cancer diagnosis and classification platform. A major problem in these gene expre...
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We automate live and dead forensic evidence gathering for MAC spoofer investigations and formalize its encoding in Forensic Lucid for subsequent reasoning. The monitoring covers a Faculty's network focusing on 100...
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In this paper, we demonstrate a new dataflow platform of DFC, which can handle the successive dataflow computing passes with tagged data. By implementing the matrix multiplication in DFC, we show that DFC can exploit ...
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Microarray data are expected to be useful for cancer classification. The main problem that needs to be addressed is the selection of a smaller subset of genes from the thousands of genes in the data that contributes t...
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Given a set P of n red and blue points in the plane, a planar bichromatic spanning tree of P is a geometric spanning tree of P, such that each edge connects between a red and a blue point, and no two edges intersect. ...
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The Internet of Drones (IoD) extends the capabilities of unmanned aerial vehicles, enabling them to participate in a connected network. In IoD infrastructure, drones communicate not only among themselves but also with...
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Aim: A large-scale document ranking system should be both effective and efficient. Here we summarize the main features of a prototype system we built for that purpose. The success of the system is demonstrated through...
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ISBN:
(纸本)1864877871
Aim: A large-scale document ranking system should be both effective and efficient. Here we summarize the main features of a prototype system we built for that purpose. The success of the system is demonstrated through its relative performance for the efficiency task of the TREC 2005 Terabyte Track. Method: Building a document ranking system involves two key decisions: choosing a retrieval model, and choosing a suitable index representation. The former determines the effectiveness of the system, the latter the efficiency;and each of them affects the other. The impact-based document ranking mechanism described by Anh and Moffat [2] was chosen for our system because of its balance between effectiveness and efficiency. In terms of effectiveness, it is highly competitive, although still inferior to advanced language modelling implementations. On the other hand, in terms of efficiency the mechanism is excellent, as it ranks documents using a small number of calculations, all on integer numbers. To further facilitate query efficiency, we compress the index using the slide-8 coding scheme [1], which allows an excellent balance between compression ratio and decoding speed. Results: Figure 1 shows the relative performance of our system in the efficiency task of the TREC 2005 Terabyte Track. The graphs were compiled from data covering the 16 runs submitted by the 8 groups with the best scores according to the metric P@20 [3]. Our two runs are labelled Full and Pruned. The former refers to the full processing of all pointers in all inverted lists, the latter to a run in which low-impact pointers were ignored. Conclusion: This year's involvement in the TREC Terabyte Track showed that our system provides a good balance between effectiveness and efficiency.
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