Evolution and the Theory of Games
In this 1982 book, the theory of games, first developed to analyse economic behaviour, is modified so that it can be applied to evolving populations. John Maynard Smith's concep...
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1,607 publications
Sisvar: a computer statistical analysis system
Sisvar is a statistical analysis system, first released in 1996 although its development began in 1994. The first version was done in the programming language Pascal and compile...
Continuous control with deep reinforcement learning
Abstract: We adapt the ideas underlying the success of Deep Q-Learning to the continuous action domain. We present an actor-critic, model-free algorithm based on the determinist...
NOTES ON CONTINUOUS STOCHASTIC PHENOMENA
Journal Article NOTES ON CONTINUOUS STOCHASTIC PHENOMENA Get access P. A. P. MORAN P. A. P. MORAN Institute of Statistics, Oxford University Search for other works by this autho...
Power-law distributions in empirical data
Power-law distributions occur in many situations of scientific interest and have significant consequences for our understanding of natural and man-made phenomena. Unfortunately,...
Anarchy, State, and Utopia
Robert Nozicka s Anarchy, State, Utopia is a powerful, philosophical challenge to the most widely held political social positions of our age ---- liberal, socialist conservat...
Teaching For Quality Learning At University
generalize create, solve unseen problems, extrapolate to unknown domains 22831.indb 124 6/15/11 2:11 PM Designing intended learning outcomes 125 • the verb at the appropriate le...
Improving neural networks by preventing co-adaptation of feature detectors
When a large feedforward neural network is trained on a small training set, it typically performs poorly on held-out test data. This "overfitting" is greatly reduced by randomly...
Designing Social Inquiry
While heated arguments between practitioners of qualitative and quantitative research have begun to test the very integrity of the social sciences, Gary King, Robert Keohane, an...
Kernel Methods for Pattern Analysis
Kernel methods provide a powerful and unified framework for pattern discovery, motivating algorithms that can act on general types of data (e.g. strings, vectors or text) and lo...