With high probability

Results: 38



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11

EDGE-DISJOINT HAMILTON CYCLES IN RANDOM GRAPHS ¨ FIACHRA KNOX, DANIELA KUHN AND DERYK OSTHUS Abstract. We show that provided log50 n/n ≤ p ≤ 1 − n−1/4 log9 n we can with high probability find a collection of bδ

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Source URL: web.mat.bham.ac.uk

Language: English - Date: 2013-05-07 07:39:41
    12

    Different functional roles for synapses with high and low initial release probability at Schaffer collaterals

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    Source URL: amygdala.psychdept.arizona.edu

    Language: English - Date: 2015-03-16 12:39:16
      13Computing / Distributed data storage / Computer architecture / Tapestry / Bloom filter / Routing / Filter / Chord / Freenet / With high probability / Shortest path problem / Replication

      Probabilistic Location and Routing Sean C. Rhea, John Kubiatowicz understand: a small amount of “mis-routing” in the local area can lead to a large divergence from optimality, since the optimal path is short to begin

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      Source URL: www.oceanstore.org

      Language: English - Date: 2002-02-07 14:07:39
      14Electronic commerce / PayPal / Futures contract / UBS / Financial adviser / Financial market / Financial economics / Investment / Finance

      TRIPLE PLAY RESEARCH My Goal: provide research to help investors enlarge their portfolios regardless of market direction by looking for charts patterns at extreme points of "exhaustion" and with a high probability of rev

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      Source URL: blog.kimblechartingsolutions.com

      Language: English - Date: 2014-04-25 16:35:58
      15Probability and statistics / Machine learning / Conditional random field / Theoretical computer science / Markov chain / Hidden Markov model / Bayesian network / Statistics / Markov models / Graphical models

      Conditional Random Fields with High-Order Features for Sequence Labeling Dan Wu Hai Leong Chieu Nan Ye

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      Source URL: www.comp.nus.edu.sg

      Language: English - Date: 2013-03-09 06:31:30
      16Statistics / Applied mathematics / Probability / Graphical models / Conditional random field / Hidden Markov model / Segmentation / Algorithm / Normal distribution / Markov models / Machine learning / Theoretical computer science

      Journal of Machine Learning Research1009 Submitted 10/12; Revised 9/13; Published 3/14 Conditional Random Field with High-order Dependencies for Sequence Labeling and Segmentation

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      Source URL: www.comp.nus.edu.sg

      Language: English - Date: 2014-08-21 10:57:11
      17Statistics / Applied mathematics / Probability / Graphical models / Conditional random field / Hidden Markov model / Segmentation / Algorithm / Normal distribution / Markov models / Machine learning / Theoretical computer science

      Journal of Machine Learning Research1009 Submitted 10/12; Revised 9/13; Published 3/14 Conditional Random Field with High-order Dependencies for Sequence Labeling and Segmentation

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      Source URL: www.comp.nus.edu.sg

      Language: English - Date: 2014-07-04 08:25:36
      18Actuarial science / Probability interpretations / Probability theory / Emergency management / Risk / Probability / Statistical hypothesis testing / Uncertainty / Doomsday argument / Statistics / Probability and statistics / Science

      Probing the Improbable: Methodological Challenges for Risks with Low Probabilities and High Stakes Toby Ord, Rafaela Hillerbrand, Anders Sandberg* Some risks have extremely high stakes. For example, a worldwide pandemic

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      Source URL: www.fhi.ox.ac.uk

      Language: English - Date: 2013-05-31 09:07:55
      19Ethics / Business / Crisis / Risk / Crisis management / Cleo Paskal / Chatham House / Psychological resilience / Management / Security / Actuarial science

      Preparing for High-impact, Low-probability Events: Lessons from Eyjafjallajökull Bernice Lee and Felix Preston, with Gemma Green Preparing for High-impact, Low-probability Events Lessons from Eyjafjallajökull

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      Source URL: www.chathamhouse.org

      Language: English - Date: 2014-03-20 06:32:54
      20Ethics / Business / Crisis / Risk / Crisis management / Cleo Paskal / Chatham House / Psychological resilience / Management / Security / Actuarial science

      Preparing for High-impact, Low-probability Events: Lessons from Eyjafjallajökull Bernice Lee and Felix Preston, with Gemma Green Preparing for High-impact, Low-probability Events Lessons from Eyjafjallajökull

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      Source URL: risk.earthmind.net

      Language: English - Date: 2012-10-12 07:39:23
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