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afoerster learning [51 articles]

最近 afoerster さんのライブラリに追加された論文の中から タグ learning. You can also see everyone's learning.
  • Near-optimal reinforcement learning framework for energy-aware sensor communications
    Selected Areas in Communications, IEEE Journal on, Vol. 23, No. 4. (2005), pp. 788-797.
    by C Pandana, KJR Liu
    posted to learning mac reinforcement sensor-networks by afoerster on 2008-03-05 10:42:45 as read
  • Sensor Networks Routing via Bayesian Exploration
    Local Computer Networks, Proceedings 2006 31st IEEE Conference on (2006), pp. 954-955.
    by Shuang Hao, Ting Wang
  • Mobile Sensor Systems Robotic Platforms and Smart Sensors
    Intelligent Sensors, Sensor Networks and Information Processing Conference, 2005. Proceedings of the 2005 International Conference on (2005), pp. 417-422.
    by WJ Smuda, GR Gerhart
    posted to journal learning by afoerster on 2008-02-04 15:35:16 as read
  • Multi-Agent Systems on Sensor Networks: A Distributed Reinforcement Learning Approach
    Intelligent Sensors, Sensor Networks and Information Processing Conference, 2005. Proceedings of the 2005 International Conference on (2005), pp. 423-429.
    by Chen-Khong Tham, JC Renaud
    posted to journal learning by afoerster on 2008-02-04 15:34:49 as read along with 1 person foekenev
  • Addressing mobility in wireless sensor media access protocol
    Intelligent Sensors, Sensor Networks and Information Processing Conference, 2004. Proceedings of the 2004 (2004), pp. 113-118.
    by Huan Pham, Sanjay Jha
    posted to journal learning by afoerster on 2008-02-04 15:32:52 as read
  • Measuring Machine Intelligence of an Agent-Based Distributed Sensor Network System
    Advances and Innovations in Systems, Computing Sciences and Software Engineering (2007), pp. 531-535.
    by Anish Anthony, Thomas Jannett
    posted to learning sensor-networks by afoerster on 2007-09-13 15:42:20 as ***** along with 1 group SensorNetworks
  • Self-Organizing Wide-Area Routing
    posted to learning manet routing by afoerster on 2007-07-13 16:21:17 as read along with 1 group SensorNetworks
  • Q-MAP: a novel multicast routing method in wireless ad hoc networks with multiagent reinforcement learning
    TENCON '02. Proceedings. 2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering, Vol. 1 (2002), pp. 667-670 vol.1.
    by R Sun, S Tatsumi, G Zhao
  • Team-partitioned, opaque-transition reinforcement learning
    (1999), pp. 206-212.
    by Peter Stone, Manuela Veloso
  • notes Real-time heuristic search
    Artif. Intell., Vol. 42, No. 2-3. (1990), pp. 189-211.
    by Richard E Korf
    posted to heuristics learning by afoerster on 2007-05-30 11:05:20 as read along with 1 group SensorNetworks
  • notes Agent-centered search
    AI Mag., Vol. 22, No. 4. (2001), pp. 109-131.
    by Sven Koenig
    posted to heuristics learning by afoerster on 2007-05-30 10:34:39 as read along with 1 group SensorNetworks
  • On Self-Organising Mechanisms from Social, Business and Economic Domains
    by Salima Hassas, Giovanna, Et
  • Spray computers: frontiers of self-organization
    Autonomic Computing, 2004. Proceedings. International Conference on (2004), pp. 268-269.
    posted to learning manet by afoerster on 2007-05-28 09:35:16 as ***** along with 1 group SensorNetworks
  • Collaborative reinforcement learning of autonomic behaviour
    Database and Expert Systems Applications, 2004. Proceedings. 15th International Workshop on (2004), pp. 700-704.
    posted to learning network reinforcement by afoerster on 2007-04-25 14:10:04 as **** along with 1 group SensorNetworks
  • Using feedback in collaborative reinforcement learning to adaptively optimize MANET routing
    Systems, Man and Cybernetics, Part A, IEEE Transactions on, Vol. 35, No. 3. (2005), pp. 360-372.
  • Self-Organization, Emergence and Multi-Agent Systems
    by Jonathan Gabbai, Hujun Yin, WA Wright, Nigel Allinson
  • SWARM: Cooperative Reinforcement Learning for Routing Ad-hoc Networks
    by Eoin Curran
    posted to learning routing by afoerster on 2007-04-19 11:26:40 as read along with 1 group SensorNetworks
  • AntHocNet: an adaptive nature-inspired algorithm for routing in mobile ad hoc networks
    European Transactions on Telecommunications, Vol. 16 (2005), pp. 443-455.
    posted to ant learning manet routing by afoerster on 2007-02-13 13:16:42 as read along with 1 group SensorNetworks
  • Learning to Predict by the Methods of Temporal Differences
    Machine Learning, Vol. 3 (1988), pp. 9-44.
    by Richard S Sutton
  • Constraint-based routing for ad-hoc networks
    Information Technology: Research and Education, 2003. Proceedings. ITRE2003. International Conference on (2003), pp. 306-310.
    by Y Shang, MPJ Fromherz, Y Zhang, LS Crawford
  • ASCENT: Adaptive Self-Configuring sEnsor Networks Topologies
    IEEE Transactions on Mobile Computing, Vol. 3, No. 3. (July 2004), pp. 272-285.
    by Deborah Estrin, Alberto Cerpa
  • LEQS: Learning-based Efficient Querying for Sensor Networks
    posted to sensor-networks learning by afoerster on 2007-01-24 14:35:15 as read along with 1 group SensorNetworks
  • Efficient and Fault-Tolerant Feature Extraction in Wireless Sensor Networks
    (2003)
    posted to sensor-networks learning by afoerster on 2007-01-24 10:44:34 as read along with 1 group SensorNetworks
  • Analysis of reactive routing protocols for mobile ad hoc networks in Markov models
    Applied Mathematics and Mechanics, Vol. 28, No. 1. (January 2007), pp. 127-139.
    posted to routing manet learning by afoerster on 2007-01-23 10:15:18 as read along with 1 group SensorNetworks
  • Clustering in mobile ad hoc network based on neural network
    Journal of Central South University of Technology, Vol. V13, No. 6. (15 December 2006), pp. 699-702.
    by Ai-Bin Chen, Zi-Xing Cai, De-Wen Hu
  • Learning Sensor Data Characteristics in Unknown Environments.
    Proceedings of The 1st International Workshop on Advances in Sensor Networks (IWASN) (2006)
    by T Bokareva, N Bulusu, S Jha
    posted to sensor-networks learning by afoerster on 2007-01-23 10:00:59 as read along with 1 group SensorNetworks
  • Sensor failure detection and recovery by neural networks
    Neural Networks, 1991., IJCNN-91-Seattle International Joint Conference on, Vol. i (1991), pp. 221-226 vol.1.
    by TH Guo, J Nurre
  • Near-optimal sensor placements: maximizing information while minimizing communication cost
    (2006), pp. 2-10.
    by Andreas Krause, Carlos Guestrin, Anupam Gupta, Jon Kleinberg
  • Distributed regression: an efficient framework for modeling sensor network data
    (2004), pp. 1-10.
    by Carlos Guestrin, Peter Bodi, Romain Thibau, Mark Paski, Samuel Madde
  • Failure Diagnosis Using Decision Trees
    (2004), pp. 36-43.
    by Alice X Zheng, Jim Lloyd, Eric Brewer
    posted to learning internet by afoerster on 2007-01-22 10:57:30 as *** along with 1 group SensorNetworks
  • notes Routing with Compression in Wireless Sensor Networks: a Q-learning Appoach
    Proceedings of the 5th European Workshop on Adaptive Agents and Multi-Agent Systems (AAMAS) (2005)
    by Pieter Beyens, Maarten Peeters, Kris Steenhaut, Ann Nowe
  • Dual Reinforcement Q-Routing: An On-line Adaptive Routing Algorithm
    (1997)
    posted to routing reinforcement learning by afoerster on 2007-01-18 14:29:22 as read along with 1 group SensorNetworks
  • notes Learning-Enforced Time Domain Routing to Mobile Sinks in Wireless Sensor Fields
    (2004), pp. 525-532.
    by Pritam Baruah, Rahul Urgaonkar, Bhaskar Krishnamachari
  • Packet Routing in Dynamically Changing Networks: A Reinforcement Learning Approach
    Vol. 6 (1994), pp. 671-678.
    by Justin A Boyan, Michael L Littman
    edited by Jack D Cowan, Gerald Tesauro, Joshua Alspector
  • Reinforcement Learning: A Survey
    Journal of Artificial Intelligence Research, Vol. 4 (1996), pp. 237-285.
    by Leslie P Kaelbling, Michael L Littman, Andrew P Moore
  • notes Ants and Reinforcement Learning: A Case Study in Routing in Dynamic Networks
    (1997), pp. 832-839.
    by Devika Subramanian, Peter Druschel, Johnny Chen
    posted to routing network learning ant by afoerster on 2007-01-16 15:45:08 as read along with 1 group SensorNetworks
  • A learning-theory approach to sensor networks
    Pervasive Computing, IEEE, Vol. 2, No. 4. (2003), pp. 44-49.
    by SN Simic
  • Adaptive tree: a learning-based meta-routing strategy for sensor networks
    Consumer Communications and Networking Conference, 2006. CCNC 2006. 2006 3rd IEEE, Vol. 1 (2006), pp. 122-126.
    by Ying Zhang, Qingfeng Huang
  • Active learning for adaptive mobile sensing networks
    (2006), pp. 60-68.
    by Aarti Singh, Robert Nowak, Parmesh Ramanathan
    posted to learning sensor-networks by afoerster on 2006-10-11 10:03:00 as read along with 1 group SensorNetworks
  • Adaptive neighborhoods for manifold learning-based sensor localization
    Signal Processing Advances in Wireless Communications, 2005 IEEE 6th Workshop on (2005), pp. 1098-1102.
  • A kernel-based learning approach to ad hoc sensor network localization
    ACM Trans. Sen. Netw., Vol. 1, No. 1. (August 2005), pp. 134-152.
    by Xuanlong Nguyen, Michael I Jordan, Bruno Sinopoli
  • notes Localization in Ad-Hoc Sensor Network: A Machine Learning Based Approach
    (2005)
    by Vineet Abhishek
  • notes Automated Component Interconnection for Scaling Scale-Resistent Services
    Proceedings of the 21st IEEE/ACM International Conference on Automated Software Engineering (September 2006)
    by Philipp Gross, Gail Kaiser
  • Towards Multi-Swarm Problem Solving in Networks
    (1998)
    by T White, B Pagurek
    edited by Y Demazeau
  • Routing with Swarm Intelligence
    No. SCE-97-15. (1997)
    by T White
    posted to learning routing by afoerster on 2006-09-01 11:00:45 as read along with 1 group SensorNetworks
  • notes Swarm Intelligence for Routing in Communication Networks
    (November 2001)
    by I Kassabalidis, El MA Sharkawi, RJ Marks, P Arabshahi, AA Gray
    posted to ant learning routing survey by afoerster on 2006-09-01 10:38:34 as read along with 1 group SensorNetworks
  • notes Learning from class-imbalanced data in wireless sensor networks
    Vehicular Technology Conference, 2003. VTC 2003-Fall. 2003 IEEE 58th, Vol. 5 (2003), pp. 3030-3034 Vol.5.
  • Parameterized Novelty Detection for Environmental Sensor Monitoring
    by Cynthia Archer, Todd K Leen, Antonio Baptista
  • SASHA: Toward a Self-Healing Hybrid Sensor Network Architecture
    by Tatiana Bokareva
  • notes A Competitive Learning Algorithm for Checking Sensor Data Integrity in Unknown Environments
    No. UNSW-CSE-0516. (2005)
    by Tatiana Bokareva, Nirupama Bulusu, Sanjay Jha
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