Tim Kovacs

Publication Activity (10 Years)

Years Active: 1999-2018
Publications (10 Years): 19

Top Topics

Dimensional Data

Sequence Labeling

Learning Classifier Systems

Top Venues

GECCO (Companion)

Bristol, Univ. (PHD)

Education History

Bristol, Univ.

PHD

Publications

Fumito Uwano, Koji Dobashi, Keiki Takadama, Tim Kovacs
Generalizing rules by random forest-based learning classifier systems for high-dimensional data mining. GECCO (Companion) (2018)
Kazuma Matsumoto, Ryo Takano, Takato Tatsumi, Hiroyuki Sato, Tim Kovacs, Keiki Takadama
XCSR based on compressed input by deep neural network for high dimensional data. GECCO (Companion) (2018)
Caili Zhang, Takato Tatsumi, Hiyoyuki Sato, Tim Kovacs, Keiki Takadama
Classifier generalization for comprehensive classifiers subsumption in XCS. GECCO (Companion) (2018)
Takato Tatsumi, Tim Kovacs, Keiki Takadama
XCS-CR: determining accuracy of classifier by its collective reward in action set toward environment with action noise. GECCO (Companion) (2018)
Kazuma Matsumoto, Takato Tatsumi, Hiroyuki Sato, Tim Kovacs, Keiki Takadama
XCSR Learning from Compressed Data Acquired by Deep Neural Network. J. Adv. Comput. Intell. Intell. Informatics 21 (5) (2017)
Takato Tatsumi, Hiroyuki Sato, Tim Kovacs, Keiki Takadama
Applying variance-based Learning Classifier System without Convergence of Reward Estimation into various Reward distribution. CEC (2017)
Tim Kovacs, Simon Rawles, Larry Bull, Masaya Nakata, Keiki Takadama
XCS-DH: Minimal default hierarchies in XCS. CEC (2016)
Fumito Uwano, Naoki Tatebe, Masaya Nakata, Keiki Takadama, Tim Kovacs
Reinforcement Learning with Internal Reward for Multi-Agent Cooperation: A Theoretical Approach. EAI Endorsed Trans. Collab. Comput. 2 (8) (2016)
Kazuma Matsumoto, Yusuke Tajima, Rei Saito, Masaya Nakata, Hiroyuki Sato, Tim Kovacs, Keiki Takadama
Learning classifier system with deep autoencoder. CEC (2016)
Takato Tatsumi, Takahiro Komine, Masaya Nakata, Hiroyuki Sato, Tim Kovacs, Keiki Takadama
Variance-based Learning Classifier System without Convergence of Reward Estimation. GECCO (Companion) (2016)
Caili Zhang, Takato Tatsumi, Masaya Nakata, Keiki Takadama, Hiroyuki Sato, Tim Kovacs
Extracting Different Abstracted Level Rule with Variance-Based LCS. SCIS&ISIS (2016)
Akinori Murata, Masaya Nakata, Hiroyuki Sato, Tim Kovacs, Keiki Takadama
Optimization of Aircraft Landing Route and Order: An approach of Hierarchical Evolutionary Computation. EAI Endorsed Trans. Self Adapt. Syst. 2 (6) (2016)
Rei Saito, Masaya Nakata, Hiroyuki Sato, Tim Kovacs, Keiki Takadama
Preventing Incorrect Opinion Sharing with Weighted Relationship Among Agents. HCI (5) (2016)
Akinori Murata, Masaya Nakata, Hiroyuki Sato, Tim Kovacs, Keiki Takadama
Optimization of Aircraft Landing Route and Order: An approach of Hierarchical Evolutionary Computation. BICT (2015)
Tim Kovacs, Muhammad Iqbal, Kamran Shafi, Ryan J. Urbanowicz
Special issue on the 20th anniversary of XCS. Evol. Intell. 8 (2-3) (2015)
Masaya Nakata, Tim Kovacs, Keiki Takadama
XCS-SL: a rule-based genetic learning system for sequence labeling. Evol. Intell. 8 (2-3) (2015)
Masaya Nakata, Pier Luca Lanzi, Tim Kovacs, Will Neil Browne, Keiki Takadama
How should Learning Classifier Systems cover a state-action space? CEC (2015)
Tom Pickering, Tim Kovacs
TP-XCS: An XCS classifier system with fixed-length memory for reinforcement learning. CEC (2015)
Fumito Uwano, Naoki Tatebe, Masaya Nakata, Keiki Takadama, Tim Kovacs
Reinforcement Learning with Internal Reward for Multi-Agent Cooperation: A Theoretical Approach. BICT (2015)
Masaya Nakata, Tim Kovacs, Keiki Takadama
Messy Coding in the XCS Classifier System for Sequence Labeling. PPSN (2014)
Masaya Nakata, Pier Luca Lanzi, Tim Kovacs, Keiki Takadama
Complete action map or best action map in accuracy-based reinforcement learning classifier systems. GECCO (2014)
Masaya Nakata, Tim Kovacs, Keiki Takadama
A modified XCS classifier system for sequence labeling. GECCO (2014)
Tim Kovacs, Robin Tindale
Analysis of the niche genetic algorithm in learning classifier systems. GECCO (2013)
Narayanan Unny Edakunni, Gary Brown, Tim Kovacs
Boosting as a Product of Experts CoRR (2012)
Tim Kovacs, Narayanan Unny Edakunni, Gavin Brown
Accuracy exponentiation in UCS and its effect on voting margins. GECCO (2011)
Narayanan Unny Edakunni, Gary Brown, Tim Kovacs
Boosting as a Product of Experts. UAI (2011)
Narayanan Unny Edakunni, Gavin Brown, Tim Kovacs
Online, GA based mixture of experts: a probabilistic model of ucs. GECCO (2011)
Tim Kovacs, Robert Egginton
On the analysis and design of software for reinforcement learning, with a survey of existing systems. Mach. Learn. 84 (1-2) (2011)
Narayanan Unny Edakunni, Tim Kovacs, Gavin Brown, James A. R. Marshall
Modeling UCS as a mixture of experts. GECCO (2009)
Kamran Shafi, Tim Kovacs, Hussein A. Abbass, Weiping Zhu
Intrusion detection with evolutionary learning classifier systems. Nat. Comput. 8 (1) (2009)
Gavin Brown, Tim Kovacs, James A. R. Marshall
UCSpv: principled voting in UCS rule populations. GECCO (2007)
James A. R. Marshall, Gavin Brown, Tim Kovacs
Bayesian estimation of rule accuracy in UCS. GECCO (Companion) (2007)
Tim Kovacs, Larry Bull
Toward a better understanding of rule initialisation and deletion. GECCO (Companion) (2007)
Tim Kovacs, Manfred Kerber
A Study of Structural and Parametric Learning in XCS. Evol. Comput. 14 (1) (2006)
James A. R. Marshall, Tim Kovacs
A representational ecology for learning classifier systems. GECCO (2006)
Peter Spellward, Tim Kovacs
On the contribution of gene libraries to artificial immune systems. GECCO (2005)
Steve Cayzer, Jim Smith, James A. R. Marshall, Tim Kovacs
What Have Gene Libraries Done for AIS? ICARIS (2005)
Tim Kovacs, Manfred Kerber
High Classification Accuracy Does Not Imply Effective Genetic Search. GECCO (2) (2004)
Martin V. Butz, Tim Kovacs, Pier Luca Lanzi, Stewart W. Wilson
Toward a theory of generalization and learning in XCS. IEEE Trans. Evol. Comput. 8 (1) (2004)
Tim Kovacs
Rule Fitness and Pathology in Learning Classifier Systems. Evol. Comput. 12 (1) (2004)
James A. R. Marshall, Tim Kovacs, Anna R. Dornhaus, Nigel R. Franks
Simulating the Evolution of Ant Behaviour in Evaluating Nest Sites. ECAL (2003)
Tim Kovacs
Learning classifier systems resources. Soft Comput. 6 (3-4) (2002)
Tim Kovacs
Performance and population state metrics for rule-based learning systems. IEEE Congress on Evolutionary Computation (2002)
Tim Kovacs
What should a classifier system learn and how should we measure it? Soft Comput. 6 (3-4) (2002)
Tim Kovacs
The 2003 Learning Classifier Systems Bibliography. IWLCS (2002)
Tim Kovacs
XCS's Strength-Based Twin: Part I. IWLCS (2002)
Tim Kovacs
XCS's Strength-Based Twin: Part II. IWLCS (2002)
Tim Kovacs
What should a classifier system learn? CEC (2001)
Tim Kovacs
Two Views of Classifier Systems. IWLCS (2001)
Tim Kovacs
Towards a Theory of Strong Overgeneral Classifiers. FOGA (2000)
Tim Kovacs, Pier Luca Lanzi
A Bigger Learning Classifier Systems Bibliography. IWLCS (2000)
Tim Kovacs, Manfred Kerber
What Makes a Problem Hard for XCS? IWLCS (2000)
Tim Kovacs, Pier Luca Lanzi
A Learning Classifier Systems Bibliography. Learning Classifier Systems (1999)
Tim Kovacs
Strength or Accuracy? Fitness Calculation in Learning Classifier Systems. Learning Classifier Systems (1999)