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Published in 2017 at "Neural Computing and Applications"
DOI: 10.1007/s00521-017-3206-2
Abstract: In this study, performance analysis of a state-of-art phrase-based statistical machine translation (SMT) system is presented on eight Indian languages. State of the art in SMT on different Indian languages to English language has also…
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Keywords:
machine translation;
indian languages;
statistical machine;
study ... See more keywords
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Published in 2017 at "Cognitive Computation"
DOI: 10.1007/s12559-017-9452-x
Abstract: In statistical machine translation (SMT), a possibly infinite number of translation hypotheses can be decoded from a source sentence, among which re-ranking is applied to sort out the best translation result. Undoubtedly, re-ranking is an…
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Keywords:
machine;
classification;
statistical machine;
extreme learning ... See more keywords
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Published in 2020 at "Harmful algae"
DOI: 10.1016/j.hal.2020.101807
Abstract: The frequency of toxin-producing cyanobacterial blooms has increased in recent decades due to nutrient enrichment and climate change. Because Microcystis blooms are related to different environmental conditions, identifying potential nutrient control targets can facilitate water…
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Keywords:
microcystis blooms;
microcystis;
use statistical;
statistical machine ... See more keywords
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Published in 2022 at "Medicine"
DOI: 10.1097/md.0000000000029387
Abstract: Abstract Background: Adverse drug reactions (ADRs) are unintended negative drug-induced responses. Determining the association between drugs and ADRs is crucial, and several methods have been proposed to demonstrate this association. This systematic review aimed to…
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Keywords:
machine;
machine learning;
statistical machine;
adverse drug ... See more keywords
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Published in 2020 at "IEEE Transactions on Smart Grid"
DOI: 10.1109/tsg.2020.2974021
Abstract: Distributed generation and reactive power resource allocation will affect the economy and security of distribution networks. Deterministic scenario planning cannot solve the problem of network uncertainties, which are introduced by intermittent renewable generators and a…
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Keywords:
optimal planning;
statistical machine;
distribution networks;
model ... See more keywords
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Published in 2022 at "Genome Biology"
DOI: 10.1186/s13059-022-02653-7
Abstract: The recent advancement in spatial transcriptomics technology has enabled multiplexed profiling of cellular transcriptomes and spatial locations. As the capacity and efficiency of the experimental technologies continue to improve, there is an emerging need for…
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Keywords:
spatially resolved;
methods spatially;
machine learning;
learning methods ... See more keywords
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Published in 2021 at "Journal of dairy science"
DOI: 10.3168/jds.2020-19576
Abstract: Numerous statistical machine learning methods suitable for application to highly correlated features, as those that exist for spectral data, could potentially improve prediction performance over the commonly used partial least squares approach. Milk samples from…
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Keywords:
milk;
machine learning;
statistical machine;
regression ... See more keywords
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Published in 2020 at "Entropy"
DOI: 10.3390/e22050530
Abstract: Human behaviour analysis has introduced several challenges in various fields, such as applied information theory, affective computing, robotics, biometrics and pattern recognition [...].
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Keywords:
behaviour analysis;
human behaviour;
machine learning;
statistical machine ... See more keywords
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Published in 2022 at "Genes"
DOI: 10.3390/genes13122282
Abstract: Genomic prediction is revolutionizing plant breeding since candidate genotypes can be selected without the need to measure their trait in the field. When a reference population contains both phenotypic and genotypic information, it is trained…
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Keywords:
genomic prediction;
gaussian kernels;
machine learning;
statistical machine ... See more keywords
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Published in 2023 at "Genes"
DOI: 10.3390/genes14051003
Abstract: Genomic selection (GS) is revolutionizing plant breeding. However, because it is a predictive methodology, a basic understanding of statistical machine-learning methods is necessary for its successful implementation. This methodology uses a reference population that contains…
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Keywords:
methodology;
machine;
machine learning;
statistical machine ... See more keywords
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Published in 2023 at "Mathematics"
DOI: 10.3390/math11112484
Abstract: This paper proposes a hybrid machine translation (HMT) system that improves the quality of neural machine translation (NMT) by incorporating statistical machine translation (SMT). Therefore, two NMT systems and two SMT systems were built for…
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Keywords:
neural machine;
statistical machine;
machine translation;
incorporating statistical ... See more keywords