P. L. Lanzi

Publications237
h-index46
Citations6,443
Highly Influential Citations395
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  • Publications
  • Influence
Architectures for an Event Notification Service Scalable to Wide-area Networks
TLDR
From the viewpoint of the designer of the event service, the first solutionis definitely the easiest one to implement. Expand
  • 211
  • 28
  • PDF
Toward a theory of generalization and learning in XCS
TLDR
We analyze the different evolutionary pressures in XCS and derive a simple equation that supports the hypothesis theoretically. Expand
  • 238
  • 20
  • PDF
Simulated Car Racing Championship: Competition Software Manual
TLDR
This manual describes the competition software for the Simulated Car Racing Championship. Expand
  • 79
  • 20
  • PDF
Toward Optimal Classifier System Performance in Non-Markov Environments
TLDR
Wilson's (1994) bit-register memory scheme was incorporated into the XCS classifier system and investigated in a series of non-Markov environments. Expand
  • 104
  • 15
An Analysis of Generalization in the XCS Classifier System
  • P. L. Lanzi
  • Mathematics, Computer Science
  • Evolutionary Computation
  • 1 June 1999
TLDR
The XCS classifier system represents a major advance in learning classifier systems research because (1) it has a sound and accurate generalization mechanism, and (2) its learning mechanism is based on Q-learning, a recognized learning technique. Expand
  • 331
  • 12
Mining interesting knowledge from weblogs: a survey
TLDR
This paper is a survey of the recent developments in the area of Web Usage Mining. Expand
  • 350
  • 12
  • PDF
Learning Classifier Systems, From Foundations to Applications
TLDR
A Roadmap to the Last Decade of Learning Classifier System Research (From 1989 to 1999). Expand
  • 250
  • 12
  • PDF
Gradient descent methods in learning classifier systems: improving XCS performance in multistep problems
TLDR
The accuracy-based XCS classifier system has been shown to solve typical data mining problems in a machine-learning competitive way. Expand
  • 85
  • 10
  • PDF
Self-adaptive games for rehabilitation at home
TLDR
In this paper, we present the first prototype of the patient rehabilitation station we developed that integrates video games for rehabilitation with methods of computational intelligence both for on-line monitoring the movements' execution during the games and for adapting the gameplay to the patients' status. Expand
  • 88
  • 9
  • PDF
A Study of the Generalization Capabilities of XCS
TLDR
We analyze the generalization behavior of the XCS classi er system in environments in which only a few generalizations can be done. Expand
  • 79
  • 9