Susumu Katayama

According to our database1, Susumu Katayama authored at least 16 papers between 2000 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2019
Computable Variants of AIXI which are More Powerful than AIXItl.
J. Artif. Gen. Intell., 2019

BK-ADAPT: Dynamic Background Knowledge for Automating Data Transformation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Automated Data Transformation with Inductive Programming and Dynamic Background Knowledge.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2018
General-purpose Declarative Inductive Programming with Domain-Specific Background Knowledge for Data Wrangling Automation.
CoRR, 2018

2016
Ideas for a Reinforcement Learning Algorithm that Learns Programs.
Proceedings of the Artificial General Intelligence - 9th International Conference, 2016

2015
Towards Human-Level Inductive Functional Programming.
Proceedings of the Artificial General Intelligence, 2015

2011
MagicHaskeller: System demonstration.
Proceedings of AAIP 2011, 2011

An Analytical Inductive Functional Programming System that Avoids Unintended Programs.
Proceedings of AAIP 2011, 2011

2009
Recent Improvements of MagicHaskeller.
Proceedings of the Approaches and Applications of Inductive Programming, 2009

2008
Efficient Exhaustive Generation of Functional Programs Using Monte-Carlo Search with Iterative Deepening.
Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008

2007
Stochastic analysis of schema distribution in a multiplicative landscape.
Artif. Life Robotics, 2007

2006
Some properties of four-dimensional multicounter automata.
Artif. Life Robotics, 2006

2005
Systematic search for lambda expressions.
Proceedings of the Revised Selected Papers from the Sixth Symposium on Trends in Functional Programming, 2005

Influence of Finite Population Size - Extinction of Favorable Schemata.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

2004
Power of Brute-Force Search in Strongly-Typed Inductive Functional Programming Automation.
Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004

2000
A Universal Generalization for Temporal-Difference Learning Using Haar Basis Functions.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000


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