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Network intelligence
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#	Item
831	U.S. Objectives for Space III. U.S. Objectives for Space How the U.S. develops the potential of space for civil, commercial, defense and intelligence purposes will affect the nation’s security for decades to come. Add to Reading List Source URL: www.dod.gov Language: English - Date: 2003-10-14 14:47:54 Space policy Space policy of the United States Space United States Space Surveillance Network Space debris Global Positioning System Satellite Defense Intelligence Agency Central Intelligence Agency Technology Spaceflight Space technology
832	PERSPEC T I V E S Global Manhunt Pushes the Limits of Social Mobilization Iyad Rahwan, Sohan Dsouza, and Alex Rutherford, Masdar Institute of Science & Technology, UAE Victor Naroditskiy, James McInerney, Matteo Venanzi Add to Reading List Source URL: eprints.soton.ac.uk Language: English - Date: 2013-04-12 03:25:26 World Wide Web Social media Websites Outsourcing Social information processing Twitter CrowdFlower DARPA Network Challenge Ushahidi Crowdsourcing Collective intelligence Technology
833	Facebook artificial intelligence team serves up 20 tasks Add to Reading List Source URL: techxplore.com Language: English - Date: 2015-05-03 10:50:38 Ethology Open problems Philosophy of artificial intelligence Computational linguistics Artificial intelligence Cybernetics Intelligence Question answering Neural network Science Computational neuroscience Knowledge
834	Journal of Artificial Intelligence Research591 Submitted 11/08; publishedOptimal Value of Information in Graphical Models Andreas Krause Add to Reading List Source URL: www.jair.org Language: English - Date: 2011-09-06 21:32:01 Bayesian statistics Statistical models Markov processes Graphical models Hidden Markov model Dynamic programming Bayesian network Static single assignment form Algorithm Statistics Mathematics Markov models
835	Mach Learn DOIs10994x Efficient inference and learning in a large knowledge base Reasoning with extracted information using a locally groundable first-order probabilistic logic Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2015-04-10 22:35:36 Link analysis Graphical models Networks Probability Mathematics PageRank Markov random field Markov logic network Artificial intelligence Theoretical computer science Applied mathematics
836	Energy-Efficient Activity Recognition using Prediction Dawud Gordon, J¨urgen Czerny, Takashi Miyaki, Michael Beigl Karlsruhe Institute of Technology Karlsruhe, Germany Email: [Firstname.Lastname]@kit.edu Add to Reading List Source URL: www.teco.edu Language: English - Date: 2013-03-15 08:05:02 K-nearest neighbor algorithm Statistical classification Activity recognition Wireless sensor network Pattern recognition Speech recognition Markov chain Artificial intelligence Machine learning Science
837	Group Activity Recognition using Mobile Devices Dawud Gordon Karlsruhe Institute of Technology (KIT), Karlsruhe 76131, DE, , http://www.teco.kit.edu/~gordon/ Add to Reading List Source URL: www.teco.edu Language: English - Date: 2012-05-01 18:08:50 Mobile computers Computing Science Activity recognition Cognition Wireless sensor network Body area network Wearable computer Ambient intelligence Technology Wireless networking Ubiquitous computing
838	Scaling-up Importance Sampling for Markov Logic Networks Vibhav Gogate Department of Computer Science University of Texas at Dallas Add to Reading List Source URL: www.hlt.utdallas.edu Language: English - Date: 2014-10-31 21:56:53 Monte Carlo methods Data analysis Artificial intelligence Markov logic network Gibbs sampling Importance sampling Bayesian inference Sampling First-order logic Statistics Statistical inference Bayesian statistics
839	Agent Building and Learning Environment Outline Add to Reading List Source URL: aass.oru.se Language: English - Date: 2005-06-02 10:24:12 Artificial intelligence JavaBeans Computing platforms Cross-platform software Intelligent agent Artificial neural network Neural network Component-based software engineering Java Computing Java platform Computational neuroscience
840	Instance Based Learning Read Ch. 8] -Nearest Neighbor Locally weighted regression Radial basis functions Case-based reasoning Add to Reading List Source URL: aass.oru.se Language: English - Date: 2005-03-31 12:57:43 Statistics K-nearest neighbor algorithm Radial basis function network Learning Machine learning Neural networks Artificial intelligence Computational statistics

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