Publications
Explore 9,323 academic publications
Sequence to Sequence Learning with Neural Networks
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...
Genetic Programming: On the Programming of Computers by Means of Natural Selection
Background on genetic algorithms, LISP, and genetic programming hierarchical problem-solving introduction to automatically-defined functions - the two-boxes problem problems tha...
Obesity: preventing and managing the global epidemic. Report of a WHO consultation.
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...
Development and use of quantum mechanical molecular models. 76. AM1: a new general purpose quantum mechanical molecular model
ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTDevelopment and use of quantum mechanical molecular models. 76. AM1: a new general purpose quantum mechanical molecular modelMichael ...
Astropy: A community Python package for astronomy
Astroplan is an observation planning package for astronomers. It is an astropy-affiliated package which began as a Google Summer of Code project. Astroplan facilitates convenien...
InterViews: An introduction to qualitative research interviewing.
PART ONE: INTRODUCTION Interviewing as Research PART TWO: CONCEPTUALIZING THE RESEARCH INTERVIEW The Interview as a Conversation Postmodern Thought, Hermeneutics, Phenomenology,...
A Second Generation Force Field for the Simulation of Proteins, Nucleic Acids, and Organic Molecules
Abstract: We present the derivation of a new molecular mechanical force field for simulating the structures, conformational energies, and interaction energies of proteins, nucle...
The Logic of Collective Action
Olson develops a theory of group and organizational behavior that cuts across disciplinary lines and illustrates the theory with empirical and historical studies of particular o...
BEAST: Bayesian evolutionary analysis by sampling trees
BEAST is a powerful and flexible evolutionary analysis package for molecular sequence variation. It also provides a resource for the further development of new models and statis...