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(324)

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On energy efficiency for enterprise and data center networks.
Priya Mahadevan, Sujata Banerjee, Puneet Sharma, Amip Shah, and Parthasarathy Ranganathan IEEE Communications Magazine 49(8):94-100 (2011)
to dblp by dblp on Feb 13, 2012, 12:00 AM
URL | BibTeX
SNR-Invariant Importance Sampling for Hard-Decision Decoding Performance of Linear Block Codes.
Amitkumar Mahadevan, and Joel M. Morris IEEE Transactions on Communications 55(1):100-111 (2007)
to dblp by dblp on Feb 11, 2012, 12:00 AM
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Evaluation of the very low BER of FEC codes using dual adaptive importance sampling.
Ronald Holzlöhner, Amitkumar Mahadevan, Curtis R. Menyuk, Joel M. Morris, and John W. Zweck IEEE Communications Letters 9(2):163-165 (2005)
to dblp by dblp on Feb 11, 2012, 12:00 AM
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High Test Quality in Low Pin Count Applications.
Jayant D'Souza, Subramanian Mahadevan, Nilanjan Mukherjee, Graham Rhodes, Jocelyn Moreau, Thomas Droniou, Paul Armagnat, and D. Sartoretti ITC, page 1. IEEE, (2008)
to dblp by dblp on Feb 6, 2012, 12:00 AM
URL | BibTeX
Fuzzy Dijkstra algorithm for shortest path problem under uncertain environment.
Yong Deng, Yuxin Chen, Yajuan Zhang, and Sankaran Mahadevan Appl. Soft Comput. 12(3):1231-1237 (2012)
to dblp by dblp on Feb 3, 2012, 12:00 AM
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Application of software health management techniques.
Nagabhushan Mahadevan, Abhishek Dubey, and Gabor Karsai SEAMS, page 1-10. ACM, (2011)
to dblp by dblp on Jan 28, 2012, 12:00 AM
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The Tyranny of the Vital Few: The Pareto Principle in Language Design.
Victor L. Winter, James T. Perry, Harvey P. Siy, Satish Mahadevan Srinivasan, Ben Farkas, and James A. McCoy JSEA 4(3):146-155 (2011)
to dblp by dblp on Jan 5, 2012, 12:00 AM
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A Unified Compiler Framework for Control and Data Speculation.
Roy Dz-Ching Ju, Kevin Nomura, Uma Mahadevan, and Le-Chun Wu IEEE PACT, page 157-168. IEEE Computer Society, (2000)
to dblp by dblp on Jan 3, 2012, 12:00 AM
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Applying Data Speculation in Modulo Scheduled Loops.
Uma Mahadevan, Kevin Nomura, Roy Dz-Ching Ju, and Rick Hank IEEE PACT, page 169-178. IEEE Computer Society, (2000)
to dblp by dblp on Jan 3, 2012, 12:00 AM
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Effects of Developer Cognitive Style and Motivations on Information Security Policy Compliance.
Lakshman Mahadevan, Judith C. Simon, and Thomas O. Meservy AMCIS, Association for Information Systems, (2011)
to dblp by dblp on Jan 3, 2012, 12:00 AM
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Resource Optimization in Automatic web page classification using integrated feature selection and machine learning.
Indra Mahadevan, Selvakuberan Karuppasamy, and Rajaram Ramasamy Int. Arab J. e-Technol. 1(1):19-28 (2009)
to dblp by dblp on Jan 2, 2012, 12:00 AM
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A Three Level Model of SOA Maturity: Toward Achieving Sense and Respond.
Lakshman Mahadevan, William J. Kettinger, and Rahul Paul AMCIS, page 337. Association for Information Systems, (2009)
to dblp by dblp on Jan 2, 2012, 12:00 AM
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An Average-Reward Reinforcement Learning Algorithm for Computing Bias-Optimal Policies.
Sridhar Mahadevan AAAI/IAAI, Vol. 1, page 875-880. AAAI Press / The MIT Press, (1996)
to dblp by dblp on Dec 23, 2011, 12:00 AM
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Automatic Programming of Behavior-Based Robots Using Reinforcement Learning.
Sridhar Mahadevan, and Jonathan Connell AAAI, page 768-773. AAAI Press / The MIT Press, (1991)
to dblp by dblp on Dec 23, 2011, 12:00 AM
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On the Tractability of Learning from Incomplete Theories.
Sridhar Mahadevan, and Prasad Tadepalli ML, page 235-241. Morgan Kaufmann, (1988)
to dblp by dblp on Dec 23, 2011, 12:00 AM
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Scaling Reinforcement Learning to Robotics by Exploiting the Subsumption Architecture.
Sridhar Mahadevan, and Jonathan Connell ML, page 328-332. Morgan Kaufmann, (1991)
to dblp by dblp on Dec 23, 2011, 12:00 AM
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To Discount or Not to Discount in Reinforcement Learning: A Case Study Comparing R Learning and Q Learning.
Sridhar Mahadevan ICML, page 164-172. Morgan Kaufmann, (1994)
to dblp by dblp on Dec 23, 2011, 12:00 AM
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Sensitive Discount Optimality: Unifying Discounted and Average Reward Reinforcement Learning.
Sridhar Mahadevan ICML, page 328-336. Morgan Kaufmann, (1996)
to dblp by dblp on Dec 23, 2011, 12:00 AM
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Hierarchical Average Reward Reinforcement Learning.
Mohammad Ghavamzadeh, and Sridhar Mahadevan Journal of Machine Learning Research (2007)
to dblp by dblp on Dec 15, 2011, 12:00 AM
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Proto-value Functions: A Laplacian Framework for Learning Representation and Control in Markov Decision Processes.
Sridhar Mahadevan, and Mauro Maggioni Journal of Machine Learning Research (2007)
to dblp by dblp on Dec 15, 2011, 12:00 AM
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