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Archetypical motion: Supervised game behavior learning with Archetypal Analysis
2013 IEEE Conference on Computational Inteligence in Games (CIG), 2013The problem of creating believable game AI poses numerous challenges for computational intelligence research. A particular challenge consists in creating human-like behaving game bots by means of applying machine learning to game-play data recorded by human players.
Rafet Sifa, Christian Bauckhage
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Archetypal Analysis for Population Genetics
2021AbstractThe estimation of genetic clusters using genomic data has application from genome-wide association studies (GWAS) to demographic history to polygenic risk scores (PRS) and is expected to play an important role in the analyses of increasingly diverse, large-scale cohorts.
Julia Gimbernat-Mayol +3 more
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Making Archetypal Analysis Practical
2009Archetypal analysis represents the members of a set of multivariate data as a convex combination of extremal points of the data. It allows for dimensionality reduction and clustering and is particularly useful whenever the data are superpositions of basic entities.
Christian Bauckhage, Christian Thurau
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Archetypal analysis for data‐driven prototype identification
Statistical Analysis and Data Mining: The ASA Data Science Journal, 2016Prototypes, as Rosch (1973) defined the term in the cognitive sciences field, are ideal exemplars that summarize and represent groups of objects (or categories) and that are “typical" according to their internal resemblance and external dissimilarityvis‐à‐visother groups or categories.
RAGOZINI, GIANCARLO +2 more
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Archetypal analysis of spatio-temporal dynamics
Physica D: Nonlinear Phenomena, 1996zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Stone, Emily, Cutler, Adele
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Automatic Model Selection in Archetype Analysis
2012Archetype analysis involves the identification of representative objects from amongst a set of multivariate data such that the data can be expressed as a convex combination of these representative objects. Existing methods for archetype analysis assume a fixed number of archetypes a priori.
Sandhya Prabhakaran +3 more
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Archetypal analysis of interval data
2010In this paper we present a mathematical model for archetypal analysis of data represented by means of intervals of real numbers. We extend the model for single-valued data proposed in the pioneering work of Cutler and Breiman on this topic. The core problem is a non-convex optimization one, which we solve by means of a sequential quadratic programming ...
S. Corsaro, MARINO, MARINA
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