The ones marked New articles related to this author's researchToward the accurate identification of network applicationsLearning to predict by the methods of temporal differencesThe following articles are merged in Scholar. Artificial Intelligence Machine Learning Reinforcement Learning Big Data. Try again later.Gradient descent for general reinforcement learningInternational Workshop on Passive and Active Network Measurement, 41-54Machine Learning Proceedings 1994, 190-198Advances in Neural Information Processing Systems, 1145-1152Advances in neural information processing systems, 968-974Variable resolution discretization in optimal controlThe parti-game algorithm for variable resolution reinforcement learning in multidimensional state-spacesAn investigation of practical approximate nearest neighbor algorithmsHoeffding races: Accelerating model selection search for classification and function approximation Page generated 2020-02-24 16:53:10 PST, by jemdoc. andrew.moore [@] cl [DOT] cam [DOT] ac [DOT] uk Directions to the William Gates Building. Search the world's most comprehensive index of full-text books. Andrew Moore, dean of the Carnegie Mellon University School of Computer Science, in his office this week. Andrew Moore grew up in Bournemouth, England, where he wrote video games for obscure 6502-based personal computers.He attended Cambridge University, where he studied Mathematics and Computer Science as an undergraduate, and then, in his PhD under the advisorship of William Clocksin, developed new approaches to machine learning for robot control. Dr. Fei-Fei Li will be returning to her professorship at Stanford as planned and will transition to being an AI/ML Advisor for Google Cloud. Andrew Moore. Title. Their Efficient application identification and the temporal and spatial stability of classification schemaOFLOPS: An open framework for OpenFlow switch evaluationNetFPGA SUME: Toward Research Commodity 100Gb/sG Antichi, M Shahbaz, Y Geng, N Zilberman, A Covington, M Bruyere, ...R Mortier, T Rodden, T Lodge, D McAuley, C Rotsos, AW Moore, ...Reader in Computer Science, University of CambridgeThe system can't perform the operation now. Efficient algorithms for minimizing cross validation errorEfficient memory-based learning for robot controlPrioritized sweeping: Reinforcement learning with less data and less timeAdvances in neural information processing systems, 711-718Advances in neural information processing systems, 369-376Discriminators for use in flow-based classificationJournal of artificial intelligence research 4, 237-285X-means: Extending k-means with efficient estimation of the number of clusters.Advances in neural information processing systems, 825-832Dynamic social network analysis using latent space modelsThis "Cited by" count includes citations to the following articles in Scholar. My library Sort.

Their Generalization in reinforcement learning: Safely approximating the value functionAdvances in neural information processing systems, 59-66Proceedings of the fifth ACM SIGKDD international conference on Knowledge …The system can't perform the operation now. Try again later.Department of Electronic and Electrical Engineering, University College LondonInternational Workshop on Passive and Active Network Measurement, 41-54Network topologies: inference, modeling, and generationWeighted spectral distribution for internet topology analysis: theory and applicationsInternational Conference on Passive and Active Network Measurement, 85-95Professor of Networks, Queen Mary University of LondonPredicting the performance of virtual machine migrationIEEE Transactions on neural networks 18 (1), 223-2392007 Workshop on End-to-End Monitoring Techniques and Services, 1-8

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