multi-source data set
A Multi Source Data Oriented Network Intrusion Detection Framework Based on Rough Set
... of data that need to be processed in the IDS is also growing ...of data mining to intrusion detection must rely on a large amount of ...rough set can discover potential and effective detection rules, ...
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Improving The SFA Algorithm by Employing Multi-Source Data
... Abstract— In recent years, discriminative learning methods have widely been used in various areas of Natural Language Processing (NLP). These methods achieve the best performance, when the set of training and ...
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Tensorial blind source separation for improved analysis of multi omic data
... from multi-omic data, including JIVE (joint and individual vari- ation explained) [5], PARAFAC (parallel factor analysis) [4, 6], iCluster [7] and canonical correlation analysis (CCA) ...between data ...
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Multi-source data integration for soil mapping using deep learning
... used multi-temporal and multispectral remote sensing images to map soil spectral reflectance while Nussbaum et ...large set of covariates for mapping eight soil properties at four soil ...
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Multi-source self-calibration: Unveiling the microJy population of compact radio sources
... point source and, as a result, the peak brightness is actually ∼ ...the source structure, some of the flux density will be scattered into the ...the source in the left panel. Each source has ...
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PubMedCentral-PMC4651841.pdf
... integrated set of tools for performing multi-site neuroimaging studies which includes: 1) centralized authentication and authorization services to support federated group management across resources, 2) ...
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A Multi-Decadal Change Analysis for Irrigation Ponds in Taoyuan, Taiwan Using Multi-source Data
... The distance d textural features represent the average spatial relationship of grey levels in a moving block or kernel window of size 𝑠 × 𝑠 (in unit of pixels) . Values of textural features computed from a moving block ...
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Hybrid Machine Translation with Multi-Source Encoder-Decoder Long Short-Term Memory in English-Malay Translation
... same data in SMT for training the SMT translation model and also for decoding, we do not want the English-Malay SMT translation model to overfit, or else the hybrid MT will ignore the other input source in ...
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Road Traffic Speed Prediction: A Probabilistic Model Fusing Multi Source Data
... fixed set of ...a set of loop detectors that incorporate information from upstream measurement ...in multi- variate form for short-term traffic prediction in ...
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Cross lingual and cross domain discourse segmentation of entire documents
... the data for three languages with sufficient amounts of data (namely, German, Spanish and Brazilian Portuguese), and using English data as a development ...using multi-task learning (with ...
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Exact distribution of a pattern in a set of random sequences generated by a Markov source: applications to biological data
... complexity patterns in sets of multiple sequences gener- ated by homogeneous or heterogeneous Markov sources. From the statistical point of view, studying the distri- bution of the random count of a simple or complex ...
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Application of information fusion technologies for multi source data
... new set of information towards reducing ...new multi-source information processing technology ...and multi-level, multi-interface synthesis process, in order to obtain accurate ...
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Multi Source Neural Machine Translation with Missing Data
... models: multi-encoder NMT, mixture of NMT experts, and one-to-one ...ing data for each source and target ...was set to ...tion data and used them when decoding test ...
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Intelligent Evidence Based Management for Data Collection and Decision Making Using Algorithmic Randomness and Active Learning
... of data collec- tion and decision-making actions for reliable and robust event processing and ...include data discrimination and multi-la- yer open set data categorization, change ...
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Research on Road Traffic Flow Status Based on Multi source Monitoring Data
... of data is very uniform, similar to normal distribution, which is more suitable for model ...sufficient data and GPU support, we can extract different characteristics such as different time, different ...
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Multi source data assimilation for physically based hydrological modeling of an experimental hillslope
... multivariate data assimilation may lead to significant trade- ...representative data are essential for a proper and effec- tive use of data assimilation in physically based hydrological models, as ...
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An Enhanced Technique for Database Clustering using an Extensive Data set for Multi-valued Attributes
... Extensive data set is generated database extraction tool from a database based on requirements of the ...extensive data set. MASSON (Ryu96a)[2] returns a set of discovered queries that ...
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Enhancing genetic algorithms based solutions for multi source flexible multistage logistics network models
... Optimizing a linear function subject to other linear functions over a finite (or countable infinite) set of feasible solutions is known as combinatorial problem. Combinatorial optimization is the rule of decision ...
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An Improved Anonymous Privacy Protection Model
... Abstract. Aiming at the privacy protection problem in the current data release, the classical K-Anonymity model and the improved L-Diversity model are analyzed. Combining the advantages of the two models, an ...
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Iberia Azores Gravity Model (IAGRM) using multi source gravity data
... both data sets have a similar behaviour with a similar amplitude and standard deviation and almost equal mean ...gravity data that may reflect the difference in the standard ...ity data points and ...
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