N-vector model

Results: 65



#Item
1ARTIFICIAL INTELLIGENCE  71 Probabilistic Logic* Nils J . N i l s s o n

ARTIFICIAL INTELLIGENCE 71 Probabilistic Logic* Nils J . N i l s s o n

Add to Reading List

Source URL: ai.stanford.edu

Language: English - Date: 2007-10-21 17:27:03
2Mon.O1b.04  Phonotactic Language Recognition Using i-vectors and Phoneme Posteriogram Counts

Mon.O1b.04 Phonotactic Language Recognition Using i-vectors and Phoneme Posteriogram Counts

Add to Reading List

Source URL: www.fit.vutbr.cz

Language: English - Date: 2012-09-27 10:17:05
3Back to Our Roots for Retrieving Very Short Passages Nada Naji University of Neuchatel, Computer Science Dept. Rue Emile-Argand 11, 2000 Neuchatel Switzerland

Back to Our Roots for Retrieving Very Short Passages Nada Naji University of Neuchatel, Computer Science Dept. Rue Emile-Argand 11, 2000 Neuchatel Switzerland

Add to Reading List

Source URL: www.asis.org

Language: English - Date: 2014-07-19 18:51:50
4Microsoft Word - 07_N-Gram-Updated V3.doc

Microsoft Word - 07_N-Gram-Updated V3.doc

Add to Reading List

Source URL: journals.yu.edu.jo

Language: English - Date: 2013-04-14 05:16:42
5Lafortune Illumination Model CSSeptember 20, 2012 Light and View Vector in BT N -coordinate system N = (0,0,1)

Lafortune Illumination Model CSSeptember 20, 2012 Light and View Vector in BT N -coordinate system N = (0,0,1)

Add to Reading List

Source URL: ezekiel.vancouver.wsu.edu

Language: English - Date: 2012-09-20 17:01:04
    6Crosslingual and Multilingual Construction of Syntax-Based Vector Space Models Jason Utt and Sebastian Padó Institut für Maschinelle Sprachverarbeitung Universität Stuttgart [uttjn|pado]@ims.uni-stuttgart.de

    Crosslingual and Multilingual Construction of Syntax-Based Vector Space Models Jason Utt and Sebastian Padó Institut für Maschinelle Sprachverarbeitung Universität Stuttgart [uttjn|pado]@ims.uni-stuttgart.de

    Add to Reading List

    Source URL: www.transacl.org

    Language: English - Date: 2014-10-03 15:19:27
    7Noname manuscript No. (will be inserted by the editor) Learning to Rank with (a Lot of ) Word Features Bing Bai · Jason Weston · David Grangier · Ronan Collobert · Kunihiko Sadamasa ·

    Noname manuscript No. (will be inserted by the editor) Learning to Rank with (a Lot of ) Word Features Bing Bai · Jason Weston · David Grangier · Ronan Collobert · Kunihiko Sadamasa ·

    Add to Reading List

    Source URL: ronan.collobert.com

    Language: English - Date: 2009-09-30 13:22:01
    8Combining Methods for the TREC 2003 Robust Track James Mayfield and Paul McNamee Research and Technology Development Center The Johns Hopkins University Applied Physics LaboratoryJohns Hopkins Road, Laurel, Maryla

    Combining Methods for the TREC 2003 Robust Track James Mayfield and Paul McNamee Research and Technology Development Center The Johns Hopkins University Applied Physics LaboratoryJohns Hopkins Road, Laurel, Maryla

    Add to Reading List

    Source URL: trec.nist.gov

    Language: English
    9TREC 2005 Enterprise Track Results from Drexel Weizhong Zhu1, Min Song2, and Robert B. Allen1 1  College of Information Science

    TREC 2005 Enterprise Track Results from Drexel Weizhong Zhu1, Min Song2, and Robert B. Allen1 1 College of Information Science

    Add to Reading List

    Source URL: trec.nist.gov

    Language: English - Date: 2006-02-21 09:28:35
    10Knowledge-intensive and statistical approaches to the retrieval and annotation of genomics MEDLINE citations Alan R. Aronson,a Dina Demner,a,b Susanne M. Humphrey,a Nicholas C. Ide,a Won Kim,a Hongfang Liu,c Russell R. L

    Knowledge-intensive and statistical approaches to the retrieval and annotation of genomics MEDLINE citations Alan R. Aronson,a Dina Demner,a,b Susanne M. Humphrey,a Nicholas C. Ide,a Won Kim,a Hongfang Liu,c Russell R. L

    Add to Reading List

    Source URL: trec.nist.gov

    Language: English - Date: 2005-02-10 13:20:37