The Experts below are selected from a list of 186 Experts worldwide ranked by ideXlab platform

Joohyung Lee - One of the best experts on this subject based on the ideXlab platform.

  • elaboration tolerant representation of markov decision process via decision theoretic extension of probabilistic action language p mathcal bc
    International Conference on Logic Programming, 2019
    Co-Authors: Yi Wang, Joohyung Lee
    Abstract:

    We extend probabilistic action language \(p\mathcal{BC}{+}\) with the notion of utility in decision theory. The semantics of the extended \(p\mathcal{BC}{+}\) can be defined as a Shorthand Notation for a decision-theoretic extension of the probabilistic answer set programming language \(\mathrm{LP}^\mathrm{{MLN}}\). Alternatively, the semantics of \(p\mathcal{BC}{+}\) can also be defined in terms of Markov Decision Process (MDP), which in turn allows for representing MDP in a succinct and elaboration tolerant way as well as leveraging an MDP solver to compute a \(p\mathcal{BC}{+}\) action description. The idea led to the design of the system pbcplus2mdp, which can find an optimal policy of a \(p\mathcal{BC}{+}\) action description using an MDP solver.

  • elaboration tolerant representation of markov decision process via decision theoretic extension of probabilistic action language pbc
    arXiv: Artificial Intelligence, 2019
    Co-Authors: Yi Wang, Joohyung Lee
    Abstract:

    We extend probabilistic action language pBC+ with the notion of utility as in decision theory. The semantics of the extended pBC+ can be defined as a Shorthand Notation for a decision-theoretic extension of the probabilistic answer set programming language LPMLN. Alternatively, the semantics of pBC+ can also be defined in terms of Markov Decision Process (MDP), which in turn allows for representing MDP in a succinct and elaboration tolerant way as well as to leverage an MDP solver to compute pBC+. The idea led to the design of the system pbcplus2mdp, which can find an optimal policy of a pBC+ action description using an MDP solver. This paper is under consideration in Theory and Practice of Logic Programming (TPLP).

Yi Wang - One of the best experts on this subject based on the ideXlab platform.

  • Elaboration Tolerant Representation of Markov Decision Process via Decision-Theoretic Extension of Probabilistic Action Language pBC+
    2020
    Co-Authors: Yi Wang, Lee Joohyung
    Abstract:

    We extend probabilistic action language pBC+ with the notion of utility as in decision theory. The semantics of the extended pBC+ can be defined as a Shorthand Notation for a decision-theoretic extension of the probabilistic answer set programming language LPMLN. Alternatively, the semantics of pBC+ can also be defined in terms of Markov Decision Process (MDP), which in turn allows for representing MDP in a succinct and elaboration tolerant way as well as to leverage an MDP solver to compute pBC+. The idea led to the design of the system pbcplus2mdp, which can find an optimal policy of a pBC+ action description using an MDP solver. This paper is under consideration in Theory and Practice of Logic Programming (TPLP).Comment: 31 pages, 3 figures; Under consideration in Theory and Practice of Logic Programming (TPLP). arXiv admin note: text overlap with arXiv:1805.0063

  • elaboration tolerant representation of markov decision process via decision theoretic extension of probabilistic action language p mathcal bc
    International Conference on Logic Programming, 2019
    Co-Authors: Yi Wang, Joohyung Lee
    Abstract:

    We extend probabilistic action language \(p\mathcal{BC}{+}\) with the notion of utility in decision theory. The semantics of the extended \(p\mathcal{BC}{+}\) can be defined as a Shorthand Notation for a decision-theoretic extension of the probabilistic answer set programming language \(\mathrm{LP}^\mathrm{{MLN}}\). Alternatively, the semantics of \(p\mathcal{BC}{+}\) can also be defined in terms of Markov Decision Process (MDP), which in turn allows for representing MDP in a succinct and elaboration tolerant way as well as leveraging an MDP solver to compute a \(p\mathcal{BC}{+}\) action description. The idea led to the design of the system pbcplus2mdp, which can find an optimal policy of a \(p\mathcal{BC}{+}\) action description using an MDP solver.

  • elaboration tolerant representation of markov decision process via decision theoretic extension of probabilistic action language pbc
    arXiv: Artificial Intelligence, 2019
    Co-Authors: Yi Wang, Joohyung Lee
    Abstract:

    We extend probabilistic action language pBC+ with the notion of utility as in decision theory. The semantics of the extended pBC+ can be defined as a Shorthand Notation for a decision-theoretic extension of the probabilistic answer set programming language LPMLN. Alternatively, the semantics of pBC+ can also be defined in terms of Markov Decision Process (MDP), which in turn allows for representing MDP in a succinct and elaboration tolerant way as well as to leverage an MDP solver to compute pBC+. The idea led to the design of the system pbcplus2mdp, which can find an optimal policy of a pBC+ action description using an MDP solver. This paper is under consideration in Theory and Practice of Logic Programming (TPLP).

Harald Kofeler - One of the best experts on this subject based on the ideXlab platform.

  • update on lipid maps classification nomenclature and Shorthand Notation for ms derived lipid structures
    Journal of Lipid Research, 2020
    Co-Authors: Gerhard Liebisch, Eoin Fahy, Junken Aoki, Edward A Dennis, Thierry Durand, Christer S Ejsing, Maria Fedorova, Ivo Feussner, William J Griffiths, Harald Kofeler
    Abstract:

    A comprehensive and standardized system to report lipid structures analyzed by MS is essential for the communication and storage of lipidomics data. Herein, an update on both the LIPID MAPS classification system and Shorthand Notation of lipid structures is presented for lipid categories Fatty Acyls (FA), Glycerolipids (GL), Glycerophospholipids (GP), Sphingolipids (SP), and Sterols (ST). With its major changes, i.e., anNotation of ring double bond equivalents and number of oxygens, the updated Shorthand Notation facilitates reporting of newly delineated oxygenated lipid species as well. For standardized reporting in lipidomics, the hierarchical architecture of Shorthand Notation reflects the diverse structural resolution powers provided by mass spectrometric assays. Moreover, Shorthand Notation is expanded beyond mammalian phyla to lipids from plant and yeast phyla. Finally, anNotation of atoms is included for the use of stable isotope-labeled compounds in metabolic labeling experiments or as internal standards. This update on lipid classification, nomenclature, and Shorthand anNotation for lipid mass spectra is considered a standard for lipid data presentation.

  • Shorthand Notation for lipid structures derived from mass spectrometry
    Journal of Lipid Research, 2013
    Co-Authors: Gerhard Liebisch, William J Griffiths, Harald Kofeler, Juan Antonio Vizcaino, Martin Trotzmuller, Gerd Schmitz, Friedrich Spener, Michael J O Wakelam
    Abstract:

    There is a need for a standardized, practical anNotation for structures of lipid species derived from mass spectrometric approaches; i.e., for high-throughput data obtained from instruments operating in either high- or low-resolution modes. This proposal is based on common, officially accepted terms and builds upon the LIPID MAPS terminology. It aims to add defined levels of information below the LIPID MAPS nomenclature, as detailed chemical structures, including stereochemistry, are usually not automatically provided by mass spectrometric analysis. To this end, rules for lipid species anNotation were developed that reflect the structural information derived from the analysis. For example, commonly used head group-specific analysis of glycerophospholipids (GP) by low-resolution instruments is neither capable of differentiating the fatty acids linked to the glycerol backbone nor able to define their bond type (ester, alkyl-, or alk-1-enyl-ether). This and other missing structural information is covered by the proposed Shorthand Notation presented here. Beyond GPs, we provide Shorthand Notation for fatty acids/acyls (FA), glycerolipids (GL), sphingolipids (SP), and sterols (ST). In summary, this defined Shorthand nomenclature provides a standard methodology for reporting lipid species from mass spectrometric analysis and for constructing databases.

Gerhard Liebisch - One of the best experts on this subject based on the ideXlab platform.

  • update on lipid maps classification nomenclature and Shorthand Notation for ms derived lipid structures
    Journal of Lipid Research, 2020
    Co-Authors: Gerhard Liebisch, Eoin Fahy, Junken Aoki, Edward A Dennis, Thierry Durand, Christer S Ejsing, Maria Fedorova, Ivo Feussner, William J Griffiths, Harald Kofeler
    Abstract:

    A comprehensive and standardized system to report lipid structures analyzed by MS is essential for the communication and storage of lipidomics data. Herein, an update on both the LIPID MAPS classification system and Shorthand Notation of lipid structures is presented for lipid categories Fatty Acyls (FA), Glycerolipids (GL), Glycerophospholipids (GP), Sphingolipids (SP), and Sterols (ST). With its major changes, i.e., anNotation of ring double bond equivalents and number of oxygens, the updated Shorthand Notation facilitates reporting of newly delineated oxygenated lipid species as well. For standardized reporting in lipidomics, the hierarchical architecture of Shorthand Notation reflects the diverse structural resolution powers provided by mass spectrometric assays. Moreover, Shorthand Notation is expanded beyond mammalian phyla to lipids from plant and yeast phyla. Finally, anNotation of atoms is included for the use of stable isotope-labeled compounds in metabolic labeling experiments or as internal standards. This update on lipid classification, nomenclature, and Shorthand anNotation for lipid mass spectra is considered a standard for lipid data presentation.

  • Shorthand Notation for lipid structures derived from mass spectrometry
    Journal of Lipid Research, 2013
    Co-Authors: Gerhard Liebisch, William J Griffiths, Harald Kofeler, Juan Antonio Vizcaino, Martin Trotzmuller, Gerd Schmitz, Friedrich Spener, Michael J O Wakelam
    Abstract:

    There is a need for a standardized, practical anNotation for structures of lipid species derived from mass spectrometric approaches; i.e., for high-throughput data obtained from instruments operating in either high- or low-resolution modes. This proposal is based on common, officially accepted terms and builds upon the LIPID MAPS terminology. It aims to add defined levels of information below the LIPID MAPS nomenclature, as detailed chemical structures, including stereochemistry, are usually not automatically provided by mass spectrometric analysis. To this end, rules for lipid species anNotation were developed that reflect the structural information derived from the analysis. For example, commonly used head group-specific analysis of glycerophospholipids (GP) by low-resolution instruments is neither capable of differentiating the fatty acids linked to the glycerol backbone nor able to define their bond type (ester, alkyl-, or alk-1-enyl-ether). This and other missing structural information is covered by the proposed Shorthand Notation presented here. Beyond GPs, we provide Shorthand Notation for fatty acids/acyls (FA), glycerolipids (GL), sphingolipids (SP), and sterols (ST). In summary, this defined Shorthand nomenclature provides a standard methodology for reporting lipid species from mass spectrometric analysis and for constructing databases.

William J Griffiths - One of the best experts on this subject based on the ideXlab platform.

  • update on lipid maps classification nomenclature and Shorthand Notation for ms derived lipid structures
    Journal of Lipid Research, 2020
    Co-Authors: Gerhard Liebisch, Eoin Fahy, Junken Aoki, Edward A Dennis, Thierry Durand, Christer S Ejsing, Maria Fedorova, Ivo Feussner, William J Griffiths, Harald Kofeler
    Abstract:

    A comprehensive and standardized system to report lipid structures analyzed by MS is essential for the communication and storage of lipidomics data. Herein, an update on both the LIPID MAPS classification system and Shorthand Notation of lipid structures is presented for lipid categories Fatty Acyls (FA), Glycerolipids (GL), Glycerophospholipids (GP), Sphingolipids (SP), and Sterols (ST). With its major changes, i.e., anNotation of ring double bond equivalents and number of oxygens, the updated Shorthand Notation facilitates reporting of newly delineated oxygenated lipid species as well. For standardized reporting in lipidomics, the hierarchical architecture of Shorthand Notation reflects the diverse structural resolution powers provided by mass spectrometric assays. Moreover, Shorthand Notation is expanded beyond mammalian phyla to lipids from plant and yeast phyla. Finally, anNotation of atoms is included for the use of stable isotope-labeled compounds in metabolic labeling experiments or as internal standards. This update on lipid classification, nomenclature, and Shorthand anNotation for lipid mass spectra is considered a standard for lipid data presentation.

  • Shorthand Notation for lipid structures derived from mass spectrometry
    Journal of Lipid Research, 2013
    Co-Authors: Gerhard Liebisch, William J Griffiths, Harald Kofeler, Juan Antonio Vizcaino, Martin Trotzmuller, Gerd Schmitz, Friedrich Spener, Michael J O Wakelam
    Abstract:

    There is a need for a standardized, practical anNotation for structures of lipid species derived from mass spectrometric approaches; i.e., for high-throughput data obtained from instruments operating in either high- or low-resolution modes. This proposal is based on common, officially accepted terms and builds upon the LIPID MAPS terminology. It aims to add defined levels of information below the LIPID MAPS nomenclature, as detailed chemical structures, including stereochemistry, are usually not automatically provided by mass spectrometric analysis. To this end, rules for lipid species anNotation were developed that reflect the structural information derived from the analysis. For example, commonly used head group-specific analysis of glycerophospholipids (GP) by low-resolution instruments is neither capable of differentiating the fatty acids linked to the glycerol backbone nor able to define their bond type (ester, alkyl-, or alk-1-enyl-ether). This and other missing structural information is covered by the proposed Shorthand Notation presented here. Beyond GPs, we provide Shorthand Notation for fatty acids/acyls (FA), glycerolipids (GL), sphingolipids (SP), and sterols (ST). In summary, this defined Shorthand nomenclature provides a standard methodology for reporting lipid species from mass spectrometric analysis and for constructing databases.