Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Manohar Jonnalagedda"'
Autor:
Sriram K. Rajamani, Suresh Parthasarathy, Manohar Jonnalagedda, Arun Iyer, Arjun Radhakrishna
Publikováno v:
PLDI
We present a way to combine techniques from the program synthesis and machine learning communities to extract structured information from heterogeneous data. Such problems arise in several situations such as extracting attributes from web pages, mach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6353ae0c18849e83060f3b1731994a50
https://doi.org/10.1145/3314221.3322485
https://doi.org/10.1145/3314221.3322485
Autor:
Heinz Stockinger, Gábor Csárdi, Robin Liechti, Aurélien Grosdidier, Manohar Jonnalagedda, Delphine Baratin, Elisabeth Gasteiger, Nicole Redaschi, Dmitry Kuznetsov, Séverine Duvaud, Konstantin Arnold, Arnaud Fortier, Grégoire Rossier, Ioannis Xenarios, Volker Flegel, Panu Artimo, Céline Hernandez, Vassilios Ioannidis, Khaled Mostaguir, Edouard de Castro, Sébastien Moretti
Publikováno v:
Nucleic Acids Research
Nucleic Acids Research, vol. 40, pp. W597-W603
Nucleic Acids Research, vol. 40, pp. W597-W603
ExPASy (http://www.expasy.org) has worldwide reputation as one of the main bioinformatics resources for proteomics. It has now evolved, becoming an extensible and integrative portal accessing many scientific resources, databases and software tools in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8a20b36cde0b98261351ab37b045d7e
http://doc.rero.ch/record/297115/files/gks400.pdf
http://doc.rero.ch/record/297115/files/gks400.pdf
Publikováno v:
OOPSLA
Parsers are ubiquitous in computing, and many applications depend on their performance for decoding data efficiently. Parser combinators are an intuitive tool for writing parsers: tight integration with the host language enables grammar specification
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2501e306b7cad6fc9e8d391c1dc26b93
https://doi.org/10.1145/2714064.2660241
https://doi.org/10.1145/2714064.2660241
Autor:
Manohar Jonnalagedda, Sandro Stucki
Publikováno v:
Scala@PLDI
Fusion is a program optimisation technique commonly implemented using special-purpose compiler support. In this paper, we present an alternative approach, implementing fold-based fusion as a standalone library. We use staging to compose operations on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f53ec4671e16001cc2c1bf75b7f51adb
https://doi.org/10.1145/2774975.2774981
https://doi.org/10.1145/2774975.2774981
Publikováno v:
What are the Odds? Probabilistic Programming in Scala.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=erc_________::28a0fceef7113964ddcbecd7d5cde042
Autor:
Tiark Rompf, Arvind K. Sujeeth, Nada Amin, Kevin J. Brown, Vojin Jovanovic, HyoukJoong Lee, Manohar Jonnalagedda, Kunle Olukotun, Martin Odersky
Publikováno v:
Optimizing Data Structures in High-Level Programs New Directions for Extensible Compilers based on S.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=erc_________::039491b7e46002b23f8c90f15014cc58
Publikováno v:
SCALA@ECOOP
Probabilistic programming is a powerful high-level paradigm for probabilistic modeling and inference. We present Odds, a small domain-specific language (DSL) for probabilistic programming, embedded in Scala. Odds provides first-class support for rand
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9dbed332635f75692b9ee2021cf275a
https://infoscience.epfl.ch/record/197943
https://infoscience.epfl.ch/record/197943
Autor:
Eric Beguet, Manohar Jonnalagedda
Publikováno v:
SCALA@ECOOP
Parser combinators provide an elegant way of writing parsers: parser implementations closely follow the structure of the underlying grammar, while accommodating interleaved host language code for data processing. However, the host language features u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e79be6eb2fcf1bdc348c1c8b2d5b1db
https://infoscience.epfl.ch/record/200905
https://infoscience.epfl.ch/record/200905