Exploration and Exploitation in Organizational Learning
This paper considers the relation between the exploration of new possibilities and the exploitation of old certainties in organizational learning. It examines some complications...
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Crop evapotranspiration : guidelines for computing crop water requirements
(First edition: 1998, this reprint: 2004). This publication presents an updated procedure for calculating reference and crop evapotranspiration from meteorological data and crop...
Multiple View Geometry in Computer Vision
A basic problem in computer vision is to understand the structure of a real world scene given several images of it. Techniques for solving this problem are taken from projective...
Self-interaction correction to density-functional approximations for many-electron systems
The exact density functional for the ground-state energy is strictly self-interaction-free (i.e., orbitals demonstrably do not self-interact), but many approximations to it, inc...
BLEU
Human evaluations of machine translation are extensive but expensive. Human evaluations can take months to finish and involve human labor that can not be reused. We propose a me...
Distinction: A Social Critique of the Judgement of Taste*
The basic opposition between the tastes of luxury and the tastes of necessity is specified in as many oppositions as there are different ways of asserting one's distinction vis-...
Accurate spin-dependent electron liquid correlation energies for local spin density calculations: a critical analysis
We assess various approximate forms for the correlation energy per particle of the spin-polarized homogeneous electron gas that have frequently been used in applications of the ...
<i>Phaser</i>crystallographic software
Phaser is a program for phasing macromolecular crystal structures by both molecular replacement and experimental phasing methods. The novel phasing algorithms implemented in Pha...
Reducing the Dimensionality of Data with Neural Networks
High-dimensional data can be converted to low-dimensional codes by training a multilayer neural network with a small central layer to reconstruct high-dimensional input vectors....