Articles with "statistical machine" as a keyword



Photo from wikipedia

Statistical machine translation of Indian languages: a survey

Sign Up to like & get
recommendations!
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… read more here.

Keywords: machine translation; indian languages; statistical machine; study ... See more keywords
Photo from wikipedia

Extreme Learning Machine for Huge Hypotheses Re-ranking in Statistical Machine Translation

Sign Up to like & get
recommendations!
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… read more here.

Keywords: machine; classification; statistical machine; extreme learning ... See more keywords
Photo by daviator737 from unsplash

Use statistical machine learning to detect nutrient thresholds in Microcystis blooms and microcystin management.

Sign Up to like & get
recommendations!
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… read more here.

Keywords: microcystis blooms; microcystis; use statistical; statistical machine ... See more keywords

Analyzing adverse drug reaction using statistical and machine learning methods

Sign Up to like & get
recommendations!
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… read more here.

Keywords: machine; machine learning; statistical machine; adverse drug ... See more keywords
Photo by cokdewisnu from unsplash

Statistical Machine Learning Model for Stochastic Optimal Planning of Distribution Networks Considering a Dynamic Correlation and Dimension Reduction

Sign Up to like & get
recommendations!
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… read more here.

Keywords: optimal planning; statistical machine; distribution networks; model ... See more keywords
Photo from wikipedia

Statistical and machine learning methods for spatially resolved transcriptomics data analysis

Sign Up to like & get
recommendations!
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… read more here.

Keywords: spatially resolved; methods spatially; machine learning; learning methods ... See more keywords
Photo by hajjidirir from unsplash

Predicting cow milk quality traits from routinely available milk spectra using statistical machine learning methods.

Sign Up to like & get
recommendations!
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… read more here.

Keywords: milk; machine learning; statistical machine; regression ... See more keywords
Photo from academic.microsoft.com

Statistical Machine Learning for Human Behaviour Analysis

Sign Up to like & get
recommendations!
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 [...]. read more here.

Keywords: behaviour analysis; human behaviour; machine learning; statistical machine ... See more keywords
Photo by cokdewisnu from unsplash

A Comparison between Three Tuning Strategies for Gaussian Kernels in the Context of Univariate Genomic Prediction

Sign Up to like & get
recommendations!
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… read more here.

Keywords: genomic prediction; gaussian kernels; machine learning; statistical machine ... See more keywords
Photo from wikipedia

Statistical Machine-Learning Methods for Genomic Prediction Using the SKM Library

Sign Up to like & get
recommendations!
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… read more here.

Keywords: methodology; machine; machine learning; statistical machine ... See more keywords
Photo by cokdewisnu from unsplash

Reduction of Neural Machine Translation Failures by Incorporating Statistical Machine Translation

Sign Up to like & get
recommendations!
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… read more here.

Keywords: neural machine; statistical machine; machine translation; incorporating statistical ... See more keywords