Tim Kovacs – författare
Visar alla böcker från författaren Tim Kovacs. Handla med fri frakt och snabb leverans.
9 produkter
Strength or Accuracy: Credit Assignment in Learning Classifier Systems
Av Tim Kovacs
E-bok, 2012
2111 kr
Lägg i varukorg
Classifier systems are an intriguing approach to a broad range of machine learning problems, based on automated generation and evaluation of condi tion/action rules. Inreinforcement learning tasks they simultaneously address the two major problems of learning a policy and generalising over it (and …
Strength or Accuracy: Credit Assignment in Learning Classifier Systems
Av Tim Kovacs
Häftad, 2012
1642 kr
Lägg i varukorg
Classifier systems are an intriguing approach to a broad range of machine learning problems, based on automated generation and evaluation of condi tion/action rules. Inreinforcement learning tasks they simultaneously address the two major problems of learning a policy and generalising over it (and …
Strength or Accuracy: Credit Assignment in Learning Classifier Systems
Av Tim Kovacs
Inbunden, 2004
1688 kr
Lägg i varukorg
The Distinguished Dissertations series is published on behalf of the Conference of Professors and Heads of Computing and the British Computer Society, who annually select the best British PhD dissertations in computer science for publication. The dissertations are selected on behalf of the CPHC by …
Foundations of Learning Classifier Systems
Av Larry Bull, Tim Kovacs
Inbunden, 2005
1688 kr
Lägg i varukorg
This volume brings together recent theoretical work in Learning Classifier Systems (LCS), which is a Machine Learning technique combining Genetic Algorithms and Reinforcement Learning. It includes self-contained background chapters on related fields (reinforcement learning and evolutionary …
Learning Classifier Systems
International Workshops, IWLCS 2003-2005, Revised Selected Papers
Av Tim Kovacs, Xavier Llorà m. fl.
Häftad, 2007
567 kr
Lägg i varukorg
The work embodied in this volume was presented across three consecutive e- tions of the International Workshop on Learning Classi?er Systems that took place in Chicago (2003), Seattle (2004), and Washington (2005). The Genetic and Evolutionary Computation Conference, the main ACM SIGEvo conference, …
Learning Classifier Systems
International Workshops, IWLCS 2003-2005, Revised Selected Papers
Av Stewart W. Wilson, Wolfgang Stolzmann m. fl.
E-bok, 2007
739 kr
Lägg i varukorg
The work embodied in this volume was presented across three consecutive e- tions of the International Workshop on Learning Classi?er Systems that took place in Chicago (2003), Seattle (2004), and Washington (2005). The Genetic and Evolutionary Computation Conference, the main ACM SIGEvo conference, …
Learning Classifier Systems
10th International Workshop, IWLCS 2006, Seattle, MA, USA, July 8, 2006, and 11th International Workshop, IWLCS 2007, London, UK, July 8, 2007, Revised Selected Papers
Av Jaume Bacardit, Ester Bernadó-Mansilla m. fl.
Häftad, 2008
567 kr
Lägg i varukorg
This book constitutes the thoroughly refereed joint post-conference proceedings of two consecutive International Workshops on Learning Classifier Systems that took place in Seattle, WA, USA in July 2006, and in London, UK, in July 2007 - all hosted by the Genetic and Evolutionary Computation …
Learning Classifier Systems
10th International Workshop, IWLCS 2006, Seattle, MA, USA, July 8, 2006, and 11th International Workshop, IWLCS 2007, London, UK, July 8, 2007, Revised Selected Papers
Av Keiki Takadama, Xavier Llora m. fl.
E-bok, 2008
755 kr
Lägg i varukorg
This book constitutes the thoroughly refereed joint post-conference proceedings of two consecutive International Workshops on Learning Classifier Systems that took place in Seattle, WA, USA in July 2006, and in London, UK, in July 2007 - all hosted by the Genetic and Evolutionary Computation …
Foundations of Learning Classifier Systems
Av Larry Bull, Tim Kovacs
Häftad, 2010
1639 kr
Lägg i varukorg
This volume brings together recent theoretical work in Learning Classifier Systems (LCS), which is a Machine Learning technique combining Genetic Algorithms and Reinforcement Learning. It includes self-contained background chapters on related fields (reinforcement learning and evolutionary …