search for books and compare prices
Colin Fyfe has written 6 work(s)
Search for other authors with the same name
displaying 1 to 6 |
at end
show results in order: alphabetically | oldest to newest | newest to oldest
'This book examines modern artificial intelligence to display how it may be applied to computer games. It spans the divide that exists between the academic research community working with advanced artificial intelligence and the games programming community which must create and release new and interesting games, creating an invaluable collection supporting both technological research and the gaming industry'--Provided by publisher.
Hardcover:
9781591406464 | Medical Info Science Reference, November 30, 2007, cover price $99.95 | About this edition: 'This book examines modern artificial intelligence to display how it may be applied to computer games.
Hardcover:
9781852338831 | Springer-Verlag New York Inc, December 30, 2004, cover price $189.00
Paperback:
9781849969451 | Springer Verlag, December 13, 2010, cover price $189.00
Paperback:
9783540454854 | Springer-Verlag New York Inc, October 15, 2006, cover price $159.00
Paperback:
9783642153808 | 1 edition (Springer-Verlag New York Inc, July 13, 2011), cover price $109.00
Exploratory data analysis, also known as data mining or knowledge discovery from databases, is typically based on the optimisation of a specific function of a dataset. Such optimisation is often performed with gradient descent or variations thereof. In this book, we first lay the groundwork by reviewing some standard clustering algorithms and projection algorithms before presenting various non-standard criteria for clustering. The family of algorithms developed are shown to perform better than the standard clustering algorithms on a variety of datasets. We then consider extensions of the basic mappings which maintain some topology of the original data space. Finally we show how reinforcement learning can be used as a clustering mechanism before turning to projection methods. We show that several varieties of reinforcement learning may also be used to define optimal projections for example for principal component analysis, exploratory projection pursuit and canonical correlation analysis. The new method of cross entropy adaptation is then introduced and used as a means of optimising projections. Finally an artificial immune system is used to create optimal projections and combinations of these three methods are shown to outperform the individual methods of optimisation.
Hardcover:
9783642040047 | 1 edition (Springer Verlag, October 1, 2009), cover price $209.00 | About this edition: Exploratory data analysis, also known as data mining or knowledge discovery from databases, is typically based on the optimisation of a specific function of a dataset.
Paperback:
9783642260551 | Springer Verlag, February 25, 2012, cover price $209.00
Paperback:
9783642130243 | 1 edition (Springer-Verlag New York Inc, June 14, 2010), cover price $169.00
displaying 1 to 6 |
at end