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A book is a collection of sheets of paper, parchment or other material with a piece of text written on them, bound together along one edge within covers. A book is also a literary work or a main division of such a work. A book produced in electronic format is known as an e-book.
In library and information science, a book is called a monograph to distinguish it from serial publications such as magazines, journals or newspapers.
Publishers may produce low-cost, pre-proof editions known as galleys or 'bound proofs' for promotional purposes, such as generating reviews in advance of publication. Galleys are usually made as cheaply as possible, since they are not intended for sale.
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Model helps computers sort data more like humans
Mon, 25 Aug 2008 00:00:00 -0500
In an advance that may impact the field of artificial intelligence, a new model developed at MIT can help computers recognize patterns the same way that humans do. The model can analyze a set of data and figure out which type of organizational structure best fits it.
MIT class asks: Fly me to the moon?
Wed, 21 May 2008 00:00:00 -0500
An MIT graduate class, aimed at figuring out whether MIT could, or should, mount an entry into the $20-million Google Lunar X-Prize competition announced last fall, has arrived at the bottom line: Yes, we can (technically)!
Beaver-like robots face off in annual MIT contest
Fri, 09 May 2008 00:00:00 -0500
Robots designed to toss pool-noodle trees into a river of ping-pong balls ruled over competitors focused on rescuing fuzzy toy beavers in this year's 2.007 contest, "Da (yes) MIT, or Save the Baby Beavers," held on Thursday, May 8, at MIT.
Meet Nexi, the Media Lab's latest robot star
Wed, 09 Apr 2008 00:00:00 -0500
A new experimental robot from the MIT Media Lab can slant its eyebrows in anger, or raise them in surprise, and show a wide assortment of facial expressions to communicate with people in human-centric terms.
Brains informing computers, and vice versa
Sat, 16 Feb 2008 00:00:00 -0500
After many years, Tomaso Poggio's two parallel lines of research--one aimed at using computers to understand how the brain works, the other at improving the abilities of computers to "think"--have begun to converge.
MIT students design graduate student development program
Sat, 16 Feb 2008 00:00:00 -0500
An MIT PhD candidate in electrical engineering and computer science will describe a novel professional development program for graduate students and its impact at MIT at the annual meeting of the AAAS in Boston.
Latest Issue of Journal of Experimental & Theoretical Artificial Intelligence
Introduction to the special issue on: pluralism and the future of cognitive science
Dale, Rick
The possibility of a pluralist cognitive science
Dale, Rick
On the nature of minds, or: truth and consequences
Edelman, Shimon
Bioinformatics: The machine learning approach - by P. Baldi and S. Brunak, MIT Press February 1998.
Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids. - by R. Durbin, S.R. Eddy, A. Krogh, G.J. Mitchison. Focus is mainly on machine learning methods for alignment, phylogeny, and RNA structure analysis.
Computational Methods in Molecular Biology - Edited by S. Salzberg, D. Searls, and S. Kasif. Elsevier Science, 1998. The book is largely devoted to machine learning approaches to molecular biology. The site includes an online appendix.
Introduction to Machine Learning - By Nils J. Nilsson (downloadable draft)
500
Machine Learning textbook - A textbook by Tom Mitchell, McGraw Hill, 1997.
Machine Learning, Neural and Statistical Classification - This book is based on the EC (ESPRIT) project StatLog which compare and evaluated a range of classification techniques, with an assessment of their merits, disadvantages and range of application. This integrated volume provides a concise introduction to each method, and reviews comparative trials in large-scale commercial and industrial problems. It makes accessible to a wide range of workers the complex issue of classification as approached through machine learning, statistics and neural networks, encouraging a cross-fertilization between these discplines.
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Reinforcement Learning: An Introduction - by Sutton Barto, MIT Press, 1998.
Support Vector Machines, Neural Networks and Fuzzy Logic Models - A textbook that provides a thorough, comprehensive and unified introduction to the field of learning from experimental data and soft computing.
Meta Description: [ Support Vector Machines, Neural Networks and Fuzzy Logic Models ]
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