Optimization

Results: 17426



#Item
71Bandits, Global Optimization, Active Learning, and Bayesian RL – understanding the common ground Marc Toussaint Machine Learning & Robotics Lab – University of Stuttgart  Aut

Bandits, Global Optimization, Active Learning, and Bayesian RL – understanding the common ground Marc Toussaint Machine Learning & Robotics Lab – University of Stuttgart Aut

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Source URL: ipvs.informatik.uni-stuttgart.de

Language: English - Date: 2016-12-21 16:48:43
    72Stochastic Maximum Likelihood Optimization via Hypernetworks Abdul-Saboor Sheikh, Kashif Rasul, Andreas Merentitis & Urs Bergmann {saboor.sheikh, kashif.rasul, urs.bergmann}@zalando.de

    Stochastic Maximum Likelihood Optimization via Hypernetworks Abdul-Saboor Sheikh, Kashif Rasul, Andreas Merentitis & Urs Bergmann {saboor.sheikh, kashif.rasul, urs.bergmann}@zalando.de

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    Source URL: bayesiandeeplearning.org

    Language: English - Date: 2017-12-05 15:01:52
      73Scenario generation for stochastic optimization problems via the sparse grid method ∗ Michael Chen† Sanjay Mehrotra‡

      Scenario generation for stochastic optimization problems via the sparse grid method ∗ Michael Chen† Sanjay Mehrotra‡

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      Source URL: users.iems.northwestern.edu

      Language: English - Date: 2012-03-07 20:41:14
        74An Artificial Neural Network and Taguchi Integrated Approach to the Optimization of Performance and Emissions of Direct Injection Diesel Engine

        An Artificial Neural Network and Taguchi Integrated Approach to the Optimization of Performance and Emissions of Direct Injection Diesel Engine

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        Source URL: www.lectitopublishing.nl

        Language: English
          75Temporal Data Performance Optimization using Preprocessing Layer

          Temporal Data Performance Optimization using Preprocessing Layer

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          Source URL: www.lectitopublishing.nl

          Language: English
            76Information Complexity of Black-Box Convex Optimization: A New Look Via Feedback Information Theory

            Information Complexity of Black-Box Convex Optimization: A New Look Via Feedback Information Theory

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            Source URL: maxim.ece.illinois.edu

            Language: English - Date: 2012-04-18 12:07:58
              77UAVs using Bayesian Optimization to Locate WiFi Devices Stefano Rosati ∗ Ecole Polytechnique F´ed´erale de Lausanne Lausanne, Switzerland

              UAVs using Bayesian Optimization to Locate WiFi Devices Stefano Rosati ∗ Ecole Polytechnique F´ed´erale de Lausanne Lausanne, Switzerland

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              Source URL: emtiyaz.github.io

              Language: English - Date: 2018-08-03 01:10:16
                78APPROX 2012 and RANDOM 2012 15th Intl. Workshop on Approx. Algorithms for Combinatorial Optimization Problems - APPROX 2012 & 16th Intl. Workshop on Randomization and Computation - RANDOM 2012 http://cui.unige.ch/tcs/ran

                APPROX 2012 and RANDOM 2012 15th Intl. Workshop on Approx. Algorithms for Combinatorial Optimization Problems - APPROX 2012 & 16th Intl. Workshop on Randomization and Computation - RANDOM 2012 http://cui.unige.ch/tcs/ran

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                Source URL: cui.unige.ch

                Language: English - Date: 2012-03-28 05:35:32
                  79Denoising Multi-Tensor Model Particle Swarm Optimization Denoising Adaptive non-local means denoising method

                  Denoising Multi-Tensor Model Particle Swarm Optimization Denoising Adaptive non-local means denoising method

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                  Source URL: hardi.epfl.ch

                  Language: English - Date: 2013-04-24 11:43:12
                    80Preferences, Invariances, Optimization Ilya Loshchilov, Marc Schoenauer, Michèle Sebag TAO, CNRS − INRIA − Université Paris-Sud Dagstuhl, March 2014

                    Preferences, Invariances, Optimization Ilya Loshchilov, Marc Schoenauer, Michèle Sebag TAO, CNRS − INRIA − Université Paris-Sud Dagstuhl, March 2014

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                    Source URL: www.lri.fr

                    Language: English - Date: 2014-03-10 10:00:53