Stanford Research Systems

Results: 62



#Item
31RESEARCH STATEMENT  Alyssa Glass My research focuses on making learning-based systems more understandable, transparent, and trustworthy. Combining techniques from both classical and statistical artificial intelligence, m

RESEARCH STATEMENT Alyssa Glass My research focuses on making learning-based systems more understandable, transparent, and trustworthy. Combining techniques from both classical and statistical artificial intelligence, m

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Source URL: www-ksl.stanford.edu

Language: English - Date: 2009-12-24 17:19:02
32Understanding Research Nils J. Nilsson, SRI International 1977 IJCAI Panel on Speech Understanding Systems Artificial Intelligence has recently completed an extensive and coordinated exploration into the terra incognita

Understanding Research Nils J. Nilsson, SRI International 1977 IJCAI Panel on Speech Understanding Systems Artificial Intelligence has recently completed an extensive and coordinated exploration into the terra incognita

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Source URL: ai.stanford.edu

Language: English - Date: 2005-02-22 19:45:42
33Border Gateway Protocol: The Good, Bad, and Ugly of Internet Routing Jim Cowie, Chief Scientist @jimcowie / @DynResearch  Stanford EE Computer Systems Colloquium

Border Gateway Protocol: The Good, Bad, and Ugly of Internet Routing Jim Cowie, Chief Scientist @jimcowie / @DynResearch Stanford EE Computer Systems Colloquium

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Source URL: research.dyn.com

Language: English - Date: 2015-02-18 15:24:06
34DISCRIMINATIVE DURATION MODELING FOR SPEECH RECOGNITION WITH SEGMENTAL CONDITIONAL RANDOM FIELDS Justine T. Kao Stanford University Symbolic Systems Program Stanford, CA 94309, USA

DISCRIMINATIVE DURATION MODELING FOR SPEECH RECOGNITION WITH SEGMENTAL CONDITIONAL RANDOM FIELDS Justine T. Kao Stanford University Symbolic Systems Program Stanford, CA 94309, USA

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Source URL: research.microsoft.com

Language: English - Date: 2011-01-24 14:48:35
35Journal of Consciousness Exploration & Research| March 2011 | Vol. 2 | Issue 2 | ppNils, N. J. Human Consciousness and Selfhood: Potential Underpinnings and Compatibility with Artificial Complex Systems Com

Journal of Consciousness Exploration & Research| March 2011 | Vol. 2 | Issue 2 | ppNils, N. J. Human Consciousness and Selfhood: Potential Underpinnings and Compatibility with Artificial Complex Systems Com

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Source URL: ai.stanford.edu

Language: English - Date: 2011-03-28 23:51:51
36Deep Learning for NLP (without Magic) References Richard Socher,* Yoshua Bengio,† and Christopher Manning* *Department of Computer Science, Stanford University † Department of computer science and operations research

Deep Learning for NLP (without Magic) References Richard Socher,* Yoshua Bengio,† and Christopher Manning* *Department of Computer Science, Stanford University † Department of computer science and operations research

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Source URL: nlp.stanford.edu

Language: English - Date: 2014-11-21 16:07:55
37RESEARCH STATEMENT  Alyssa Glass My research focuses on making learning-based systems more understandable, transparent, and trustworthy. Combining techniques from both classical and statistical artificial intelligence, m

RESEARCH STATEMENT Alyssa Glass My research focuses on making learning-based systems more understandable, transparent, and trustworthy. Combining techniques from both classical and statistical artificial intelligence, m

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Source URL: ksl-web.stanford.edu

Language: English - Date: 2009-12-24 17:19:02
38Static Analysis Techniques for Predicting the Behavior of Database Production Rules Alexander Aiken Jennifer Widom Joseph M. Hellerstein IBM Almaden Research Center

Static Analysis Techniques for Predicting the Behavior of Database Production Rules Alexander Aiken Jennifer Widom Joseph M. Hellerstein IBM Almaden Research Center

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Source URL: theory.stanford.edu

Language: English - Date: 2014-08-20 00:52:24
39Multi-Commodity Flow Models for Dynamic Energy Management Matt Kraning and Stephen Boyd Information Systems Laboratory, Electrical Engineering, Stanford University Smart grid optimization

Multi-Commodity Flow Models for Dynamic Energy Management Matt Kraning and Stephen Boyd Information Systems Laboratory, Electrical Engineering, Stanford University Smart grid optimization

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Source URL: forum.stanford.edu

Language: English - Date: 2010-05-26 17:22:43
40Ionospheric Research Issues for SBAS – Summary of A White Paper SBAS Ionospheric Working Group September 2002 Introduction: SBAS precision approach services require correction for ionospheric range delay, and mitigatio

Ionospheric Research Issues for SBAS – Summary of A White Paper SBAS Ionospheric Working Group September 2002 Introduction: SBAS precision approach services require correction for ionospheric range delay, and mitigatio

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Source URL: waas.stanford.edu

Language: English - Date: 2012-03-13 14:47:38