منابع مشابه
The winner takes it all.
W e all make mistakes from time to time. I have made my fair share, but none of my mistakes have ever won a prize. In 2002 Lundbeck breached the UK industry code of practice in the way it advertised escitalopram (Cipralex). Escitalopram is the son of citalopram (Cipramil). The company claimed that its new drug, escitalopram was more effective than citalopram, even though the two drugs have exac...
متن کاملThe winner takes it all
We study competing first passage percolation on graphs generated by the configuration model. At time 0, vertex 1 and vertex 2 are infected with the type 1 and the type 2 infection, respectively, and an uninfected vertex then becomes type 1 (2) infected at rate λ1 (λ2) times the number of edges connecting it to a type 1 (2) infected neighbor. Our main result is that, if the degree distribution i...
متن کاملThe winner takes all: Standardization and console games
Drawing on media economics and critical theory and political economy, this paper will provide a critical reading of the blockbuster video game. While blockbuster games are considered to be highly innovative by constantly pushing technological boundaries, they are also considered to be formulaic and its themes and game mechanics fairly predictable. The hit-driven nature of contemporary console p...
متن کاملLearning vector quantization: The dynamics of winner-takes-all algorithms
Winner-Takes-All (WTA) prescriptions for Learning Vector Quantization (LVQ) are studied in the framework of a model situation: Two competing prototype vectors are updated according to a sequence of example data drawn from a mixture of Gaussians. The theory of on-line learning allows for an exact mathematical description of the training dynamics, even if an underlying cost function cannot be ide...
متن کاملCompetitive Winner-Takes-All Clustering in the Domain of Graphs
We present a theoretical foundation for competitive learning in the domain of graphs within a connectionist framework. In the first part of this contribution we embed graphs in an Euclidean space to facilitate competitive learning in the domain of graphs. We adopt constitutive concepts of competitive learning like the scalar products, metrics, and the weighted mean for graphs. The first part is...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Nature Physics
سال: 2010
ISSN: 1745-2473,1745-2481
DOI: 10.1038/nphys1809