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Generating ensembles of heterogeneous classifiers using Stacked Generalization
TLDR
In this paper, we describe Stacking and its variants and present several examples of application domains. Expand
Web news mining in an evolving framework
TLDR
We present an approach for classifying in real-time web news articles into various categories (topic areas) based on the text content of the articles. Expand
GA-stacking: Evolutionary stacked generalization
TLDR
Stacking is a widely used technique for combining classifiers and improving prediction accuracy. Expand
Genetic Approach for Optimizing Ensembles of Classifiers
TLDR
An ensemble of classifiers is a set of classifier whose predictions are combined in some way to classify new instances. Expand
A Machine Consciousness Approach to the Design of Human-Like Bots
TLDR
This chapter introduces Machine Consciousness as a new research field applied to the development of human-like behaviour of non-player characters (NPCs) in video games using the cognitive architecture CERA-CRANIUM as an illustrative example of an autonomous control system inspired by cognitive theories of human consciousness. Expand
Creating Evolving User Behavior Profiles Automatically
TLDR
A new approach for creating and recognizing automatically the behavior profile of a computer user from the commands typed in a command-line interface. Expand
CERA-CRANIUM: a test bed for machine consciousness research
TLDR
This paper describes a novel framework designed as a test bed for machine consciousness cognitive models (MCCM) that can be integrated in different environments and confronted with different problem domains. Expand
Towards conscious-like behavior in computer game characters
TLDR
In this paper, we argue that current research efforts in the young field of Machine Consciousness (MC) could contribute to tackle complexity and provide a useful framework for the design of more appealing synthetic characters. Expand
ConsScale FPS: Cognitive Integration for Improved Believability in Computer Game Bots
TLDR
A framework for the characterization and measurement of the level of cognitive development in artificial agents. Expand
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