Tim Kovacs - RankMe

58 papers A 12B 7Journal 13Unranked 22

Year	Rank	Type	Title / Venue / Authors
2018	—	`conf`	Classifier generalization for comprehensive classifiers subsumption in XCS. GECCO (Companion) Caili Zhang, Takato Tatsumi, Hiyoyuki Sato, Tim Kovacs, Keiki Takadama
2018	—	`conf`	Generalizing rules by random forest-based learning classifier systems for high-dimensional data mining. GECCO (Companion) Fumito Uwano, Koji Dobashi, Keiki Takadama, Tim Kovacs
2018	—	`conf`	XCS-CR: determining accuracy of classifier by its collective reward in action set toward environment with action noise. GECCO (Companion) Takato Tatsumi, Tim Kovacs, Keiki Takadama
2018	—	`conf`	XCSR based on compressed input by deep neural network for high dimensional data. GECCO (Companion) Kazuma Matsumoto, Ryo Takano, Takato Tatsumi, Hiroyuki Sato, Tim Kovacs, Keiki Takadama
2017	B	`conf`	Applying variance-based Learning Classifier System without Convergence of Reward Estimation into various Reward distribution. CEC Takato Tatsumi, Hiroyuki Sato, Tim Kovacs, Keiki Takadama
2017	J	`jnl`	XCSR Learning from Compressed Data Acquired by Deep Neural Network. J. Adv. Comput. Intell. Intell. Informatics Kazuma Matsumoto, Takato Tatsumi, Hiroyuki Sato, Tim Kovacs, Keiki Takadama
2016	—	`conf`	Extracting Different Abstracted Level Rule with Variance-Based LCS. SCIS&ISIS Caili Zhang, Takato Tatsumi, Masaya Nakata, Keiki Takadama, Hiroyuki Sato, Tim Kovacs
2016	B	`conf`	Learning classifier system with deep autoencoder. CEC Kazuma Matsumoto, Yusuke Tajima, Rei Saito, Masaya Nakata, Hiroyuki Sato, Tim Kovacs, Keiki Takadama
2016	J	`jnl`	Optimization of Aircraft Landing Route and Order: An approach of Hierarchical Evolutionary Computation. EAI Endorsed Trans. Self Adapt. Syst. Akinori Murata, Masaya Nakata, Hiroyuki Sato, Tim Kovacs, Keiki Takadama
2016	—	`conf`	Preventing Incorrect Opinion Sharing with Weighted Relationship Among Agents. HCI (5) Rei Saito, Masaya Nakata, Hiroyuki Sato, Tim Kovacs, Keiki Takadama
2016	J	`jnl`	Reinforcement Learning with Internal Reward for Multi-Agent Cooperation: A Theoretical Approach. EAI Endorsed Trans. Collab. Comput. Fumito Uwano, Naoki Tatebe, Masaya Nakata, Keiki Takadama, Tim Kovacs
2016	—	`conf`	Variance-based Learning Classifier System without Convergence of Reward Estimation. GECCO (Companion) Takato Tatsumi, Takahiro Komine, Masaya Nakata, Hiroyuki Sato, Tim Kovacs, Keiki Takadama
2016	B	`conf`	XCS-DH: Minimal default hierarchies in XCS. CEC Tim Kovacs, Simon Rawles, Larry Bull, Masaya Nakata, Keiki Takadama
2015	B	`conf`	How should Learning Classifier Systems cover a state-action space? CEC Masaya Nakata, Pier Luca Lanzi, Tim Kovacs, Will Neil Browne, Keiki Takadama
2015	—	`conf`	Optimization of Aircraft Landing Route and Order: An approach of Hierarchical Evolutionary Computation. BICT Akinori Murata, Masaya Nakata, Hiroyuki Sato, Tim Kovacs, Keiki Takadama
2015	—	`conf`	Reinforcement Learning with Internal Reward for Multi-Agent Cooperation: A Theoretical Approach. BICT Fumito Uwano, Naoki Tatebe, Masaya Nakata, Keiki Takadama, Tim Kovacs
2015	J	`jnl`	Special issue on the 20th anniversary of XCS. Evol. Intell. Tim Kovacs, Muhammad Iqbal, Kamran Shafi, Ryan J. Urbanowicz
2015	B	`conf`	TP-XCS: An XCS classifier system with fixed-length memory for reinforcement learning. CEC Tom Pickering, Tim Kovacs
2015	J	`jnl`	XCS-SL: a rule-based genetic learning system for sequence labeling. Evol. Intell. Masaya Nakata, Tim Kovacs, Keiki Takadama
2014	A	`conf`	A modified XCS classifier system for sequence labeling. GECCO Masaya Nakata, Tim Kovacs, Keiki Takadama
2014	A	`conf`	Complete action map or best action map in accuracy-based reinforcement learning classifier systems. GECCO Masaya Nakata, Pier Luca Lanzi, Tim Kovacs, Keiki Takadama
2014	A	`conf`	Messy Coding in the XCS Classifier System for Sequence Labeling. PPSN Masaya Nakata, Tim Kovacs, Keiki Takadama
2013	A	`conf`	Analysis of the niche genetic algorithm in learning classifier systems. GECCO Tim Kovacs, Robin Tindale
2012	J	`jnl`	Boosting as a Product of Experts CoRR Narayanan Unny Edakunni, Gary Brown, Tim Kovacs
2012	—	`ch.`	Genetics-Based Machine Learning. Handbook of Natural Computing Tim Kovacs
2011	A	`conf`	Accuracy exponentiation in UCS and its effect on voting margins. GECCO Tim Kovacs, Narayanan Unny Edakunni, Gavin Brown
2011	A	`conf`	Boosting as a Product of Experts. UAI Narayanan Unny Edakunni, Gary Brown, Tim Kovacs
2011	J	`jnl`	On the analysis and design of software for reinforcement learning, with a survey of existing systems. Mach. Learn. Tim Kovacs, Robert Egginton
2011	A	`conf`	Online, GA based mixture of experts: a probabilistic model of ucs. GECCO Narayanan Unny Edakunni, Gavin Brown, Tim Kovacs
2009	J	`jnl`	Intrusion detection with evolutionary learning classifier systems. Nat. Comput. Kamran Shafi, Tim Kovacs, Hussein A. Abbass, Weiping Zhu
2009	A	`conf`	Modeling UCS as a mixture of experts. GECCO Narayanan Unny Edakunni, Tim Kovacs, Gavin Brown, James A. R. Marshall
2008	—	`ed.`	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 IWLCS Jaume Bacardit, Ester Bernadó-Mansilla, Martin V. Butz, Tim Kovacs, Xavier Llorà, Keiki Takadama
2007	—	`conf`	Bayesian estimation of rule accuracy in UCS. GECCO (Companion) James A. R. Marshall, Gavin Brown, Tim Kovacs
2007	—	`ed.`	Learning Classifier Systems, International Workshops, IWLCS 2003-2005, Revised Selected Papers IWLCS Tim Kovacs, Xavier Llorà, Keiki Takadama, Pier Luca Lanzi, Wolfgang Stolzmann, Stewart W. Wilson
2007	—	`conf`	Toward a better understanding of rule initialisation and deletion. GECCO (Companion) Tim Kovacs, Larry Bull
2007	A	`conf`	UCSpv: principled voting in UCS rule populations. GECCO Gavin Brown, Tim Kovacs, James A. R. Marshall
2006	J	`jnl`	A Study of Structural and Parametric Learning in XCS. Evol. Comput. Tim Kovacs, Manfred Kerber
2006	A	`conf`	A representational ecology for learning classifier systems. GECCO James A. R. Marshall, Tim Kovacs
2005	A	`conf`	On the contribution of gene libraries to artificial immune systems. GECCO Peter Spellward, Tim Kovacs
2005	—	`conf`	What Have Gene Libraries Done for AIS? ICARIS Steve Cayzer, Jim Smith, James A. R. Marshall, Tim Kovacs
2004	—	`conf`	High Classification Accuracy Does Not Imply Effective Genetic Search. GECCO (2) Tim Kovacs, Manfred Kerber
2004	J	`jnl`	Rule Fitness and Pathology in Learning Classifier Systems. Evol. Comput. Tim Kovacs
2004	—	`—`	Strength or accuracy: credit assignment in learning classifier systems. Tim Kovacs
2004	J	`jnl`	Toward a theory of generalization and learning in XCS. IEEE Trans. Evol. Comput. Martin V. Butz, Tim Kovacs, Pier Luca Lanzi, Stewart W. Wilson
2003	—	`conf`	Simulating the Evolution of Ant Behaviour in Evaluating Nest Sites. ECAL James A. R. Marshall, Tim Kovacs, Anna R. Dornhaus, Nigel R. Franks
2002	J	`jnl`	Learning classifier systems resources. Soft Comput. Tim Kovacs
2002	B	`conf`	Performance and population state metrics for rule-based learning systems. IEEE Congress on Evolutionary Computation Tim Kovacs
2002	—	`conf`	The 2003 Learning Classifier Systems Bibliography. IWLCS Tim Kovacs
2002	J	`jnl`	What should a classifier system learn and how should we measure it? Soft Comput. Tim Kovacs
2002	—	`conf`	XCS's Strength-Based Twin: Part I. IWLCS Tim Kovacs
2002	—	`conf`	XCS's Strength-Based Twin: Part II. IWLCS Tim Kovacs
2001	—	`conf`	Two Views of Classifier Systems. IWLCS Tim Kovacs
2001	B	`conf`	What should a classifier system learn? CEC Tim Kovacs
2000	—	`conf`	A Bigger Learning Classifier Systems Bibliography. IWLCS Tim Kovacs, Pier Luca Lanzi
2000	A	`conf`	Towards a Theory of Strong Overgeneral Classifiers. FOGA Tim Kovacs
2000	—	`conf`	What Makes a Problem Hard for XCS? IWLCS Tim Kovacs, Manfred Kerber
1999	—	`conf`	A Learning Classifier Systems Bibliography. Learning Classifier Systems Tim Kovacs, Pier Luca Lanzi
1999	—	`conf`	Strength or Accuracy? Fitness Calculation in Learning Classifier Systems. Learning Classifier Systems Tim Kovacs