Sequence modeling
Error analysis of sequence modeling for projecting cyber attacks
... Intrusion Detection System (IDS) has become an integral component in the field of network security. Prior research has focused on developing efficient IDSs and correlating attacks as Attack Tracks. To enhance the network ...
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Neural Associative Memory for Dual Sequence Modeling
... problems can (at least partially) be modeled by this paradigm (Li and Hovy, 2015). These models operate on two distinct sequences, the source and the target sequence. Some tasks require the generation of the ...
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A Sequence Modeling Approach for Structured Data Extraction from Unstructured Text
... of sequence modeling for the problem of structured data ...a sequence tagging ...for sequence tagging tailored and effective to our ...vanilla sequence tagging model. We also propose ...
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A Lightweight Recurrent Network for Sequence Modeling
... as sequence modeling tasks, where recurrent networks (RNNs) are widely ap- plied and contribute greatly to state-of-the-art neu- ral systems (Yang et ...
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High Order Sequence Modeling for Language Learner Error Detection
... general sequence model (Figure 2) can be at- tributed to the much smaller overall set of errors in each of the eight training ...the sequence modeling results for prepositions with results from the ...
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Phoneme Sequence Modeling in the Context of Speech Signal Recognition in Language “Baoule”
... This equation is the key to the probabilistic approach to speech recognition. Indeed, the first term P ( A / M ) is the probability of observing the acoustic signal A if the M se- quence of words is pronounced: it is a ...
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fairseq: A Fast, Extensible Toolkit for Sequence Modeling
... Edunov et al., 2018b,a; Chen et al., 2018; Ott et al., 2018a; Song et al., 2018; Wu et al., 2019), lan- guage modeling (Dauphin et al., 2017; Baevski and Auli, 2019), abstractive document summariza- tion (Fan et ...
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Highly Effective Arabic Diacritization using Sequence to Sequence Modeling
... Arabic text is typically written without short vowels (or diacritics). However, their pres- ence is required for properly verbalizing Ara- bic and is hence essential for applications such as text to speech. There are two ...
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Sequence-to-sequence modeling for graph representation learning
... LSTM sequence-to-sequence learning framework of (Sutskever et ...input sequence into a vector and another LSTM to generate the output sequence from that ...same sequence as both input ...
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Efficient Convolutional Neural Networks for Diacritic Restoration
... a sequence labeling problem and cur- rently Bidirectional Long Short Term Mem- ory (BiLSTM) models provide state-of-the-art ...for sequence modeling in terms of performance and computational re- ...
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Transfer Learning for Neural Semantic Parsing
... using sequence-to-sequence in a multi-task setup for semantic pars- ing with a focus on transfer ...for sequence-to-sequence modeling and com- pare their performance with an indepen- ...
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Experimental Representations of Opinion Mining from Online Reviews Based on Sentiment Analysis Model
... temporal-ordered sequence ordered by their posted time to create a user review embedding sequence and a product review embedding sequence, ...a sequence model to learn user embeddings and ...
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In silico Prediction and Docking of Tertiary Structure of LuxI, an Inducer Synthase of Vibrio fischeri
... The amino acid sequence of LuxI was obtained from the UniProt database available at http://www.uniprot.org/, (Accession number: P35328) and used in FASTA file format in the analysis. The physiochemical properties ...
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Prediction of localization and interactions of apoptotic proteins
... endoG localized to mitochondria (Fig. 2A, E, G) and DNA topoisomerase II α to nucleus (Fig. 2J). DNA topoisomer- ase II α was also found to relocate during apoptosis simi- larly to chromatin condensation organized by AIF ...
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Mixed effects models for joint modeling of sequence data in longitudinal studies
... multiple sequence variants on SBP after accounting for familial correlation and the time dependencies within ...the sequence data to fine-map additional variants in these ...the sequence variants on ...
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BIOCHEMICAL ANALYSIS AND HOMOLOGY MODELING OF COLLAGENASE PROTEIN OF SCYLLA SERRATA CRAB
... The primary aim of the present bioinformatics work is to analyze the complete molecular protein profiling and secondary structure prediction of the (Scylla serrata) collagenase protein sequence. Based on the ...
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Modeling and simulation of digital frequency relay for generator protection
... Abstract- Modeling tools are useful for educational and industrial use. Such tools help the new engineers to simulate the power system under normal and faulted conditions. This paper presents the design and ...
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CELLULOSE AS SOLE SUBSTRATE FOR BIO ETHANOL PRODUCTION: DEVELOPMENT OF STRUCTURAL MOLECULAR MODEL OF ENDOGLUCANASE III FROM TRICHODERMA REESEI USING BIOINFORMATIC TOOLS
... comparative modeling requires identification of homologous sequences with existing ...comparative/homology modeling, scanning and selection of template protein structure was carried out using the target ...
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Modeling Confidence in Sequence to Sequence Models
... In this work, we propose to use the similarity between training and test conditions as a mea- sure for models’ confidence. We investigate methods solely using the similarity as well as methods combining it with the ...
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A Review on Human Gender Classification Based on Face Feature Extraction
... the modeling of software as well as method of model ...of modeling of software and model driven technique (2) To learn predicted as well as obtained benefits also (3) To recognize the issues that avoid ...
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