The Theory of the Growth of the Firm
Abstract So far as I know, no economist has as yet attempted a general theory of the growth of firms. This seems to me so very strange that I am sure anyone attempting it should...
Explore 9,165 academic publications
Abstract So far as I know, no economist has as yet attempted a general theory of the growth of firms. This seems to me so very strange that I am sure anyone attempting it should...
The Gene Expression Omnibus (GEO) project was initiated in response to the growing demand for a public repository for high-throughput gene expression data. GEO provides a flexib...
Deep Neural Networks (DNNs) are powerful models that have achieved excellent performance on difficult learning tasks. Although DNNs work well whenever large labeled training set...
This paper presents the form and validation results of APACHE II, a severity of disease classification system. APACHE II uses a point score based upon initial values of 12 routi...
Overweight and obesity represent a rapidly growing threat to the health of populations in an increasing number of countries. Indeed they are now so common that they are replacin...
ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTDevelopment and use of quantum mechanical molecular models. 76. AM1: a new general purpose quantum mechanical molecular modelMichael ...
Clustering is the unsupervised classification of patterns (observations, data items, or feature vectors) into groups (clusters). The clustering problem has been addressed in man...
This paper describes a simple method of calculating a heteroskedasticity and autocorrelation consistent covariance matrix that is positive semi-definite by construction. It also...
An enzyme which catalyzes the dismutation of superoxide radicals (O2·- + O2·- + 2H+ → O2 + H2O2) has been purified by a simple procedure from bovine erythrocytes. This enzyme, c...
How should we understand why firms exist? A prevailing view has been that they serve to keep in check the transaction costs arising from the self-interested motivations of indiv...
Whereas before 2006 it appears that deep multilayer neural networks were not successfully trained, since then several algorithms have been shown to successfully train them, with...
Homology modelling has matured into an important technique in structural biology, significantly contributing to narrowing the gap between known protein sequences and experimenta...