"A Bradford book."An analysis of how economic theories can be used to understand disordered and pathological gambling that calls on empirical evidence about behavior and the brain and argues that addictive gambling is the basic form of all addiction.OCLC-licensed vendor bibliographic record.
To many science and engineering students, the task of writing may seem irrelevant to their future professional careers. At MIT, however, students discover that writing about their technical work is important not only in solving real-world problems but also in developing their professional identities. MIT puts into practice the belief that "engineers who don't write well end up working for engin…
"A Bradford book."This reader collects in one easy, accessible place, classic writings on emergence from contemporary philosophy and science. This title includes contributions from the likes of John Searle, Stephen Weinberg, Thomas Schelling, Stephen Wolfram and Jenny Fodor.OCLC-licensed vendor bibliographic record.
Modern science is increasingly collaborative, and this volume looks at the challenges and rewards of scientific collaboration enabled by information and communication technology, from theoretical approaches to in-depth case studies.OCLC-licensed vendor bibliographic record.
Notions of nature and art as they have been defined and redefined in Western culture, from the Hippocratic writers and Aristotle of Ancient Greece to nineteenth-century chemistry and twenty-first century biomimetics.OCLC-licensed vendor bibliographic record.
Change in scientific practice and its implications for the status of scientific claims, examined through an analysis of three episodes at a synchrotron laboratory.OCLC-licensed vendor bibliographic record.
Noam Chomsky as political gadfly, groundbreaking scholar, and intellectual guru: key issues in Chomsky's career and the sometimes contentious reception to his ideas.OCLC-licensed vendor bibliographic record.
The annual Neural Information Processing Systems (NIPS) conference is the flagship meeting on neural computation and machine learning. This volume contains the papers presented at the December 2006 meeting, held in Vancouver.OCLC-licensed vendor bibliographic record.
Collected papers based on talks presented at two Neural Information Processing Systems workshops.State-of-the-art algorithms and theory in a novel domain of machine learning, prediction when the output has structure.Machine learning develops intelligent computer systems that are able to generalize from previously seen examples. A new domain of machine learning, in which the prediction must sati…
Pervasive and networked computers have dramatically reduced the cost of collecting and distributing large datasets. In this context, machine learning algorithms that scale poorly could simply become irrelevant. We need learning algorithms that scale linearly with the volume of the data while maintaining enough statistical efficiency to outperform algorithms that simply process a random subset o…