Results 141 to 150 of about 19,750 (179)

Larkin length as a criterion for antiferromagnetic writing

Khokhlov N, Buzdakov A, Gareev T, Li S, Wang X, Artyukhin S, Kimel A.   +6 more
europepmc   +1 more source

Archetypal Analysis of Interval Data. [PDF]

Reliab. Comput., 2010
In 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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Archetypal analysis for data‐driven prototype identification

Statistical Analysis and Data Mining: The ASA Data Science Journal, 2016
Prototypes, 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, PALUMBO, FRANCESCO, D'Esposito M. R.   +2 more
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Archetypical motion: Supervised game behavior learning with Archetypal Analysis

2013 IEEE Conference on Computational Inteligence in Games (CIG), 2013
The 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
openaire   +1 more source

Making Archetypal Analysis Practical

2009
Archetypal 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 Population Genetics

2021
Abstract The 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, Daniel Mas Montserrat, Carlos D. Bustamante, Alexander G. Ioannidis   +3 more
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Archetypal analysis for audio dictionary learning

2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2015
This paper proposes dictionary learning with archetypes for audio processing. Archetypes refer to so-called pure types, which are a combination of a few data points and which can be combined to obtain a data point. The concept has been found useful in various problems, but it has not yet been applied for audio analysis.
Aleksandr Diment, Tuomas Virtanen
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Automatic Model Selection in Archetype Analysis

2012
Archetype 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, Sudhir Raman, Julia E. Vogt, Volker Roth 0001   +3 more
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A Study of Fuzzy Clustering to Archetypal Analysis

2018
This paper presents a comparative study between a method for fuzzy clustering which retrieves pure individual types from data, the fuzzy clustering with proportional membership (FCPM), and an archetypal analysis algorithm based on Furthest-Sum approach (FS-AA).
Gonçalo Sousa Mendes, Susana Nascimento
openaire   +1 more source