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PC Magazine January 2006Articles in January 2006 issue of PC Magazine
* US High Court Refuses to Review RIM Patent Ruling by Reuters * DTV Alliance Takes Mobile TV To The Masses by Bary Alyssa Johnson * Government... | | Blown to Bits: Your Life, Liberty, and Happiness After the Digital ExplosionEvery day, billions of photographs, news stories, songs, X-rays, TV shows, phone calls, and emails are being scattered around the world as sequences of zeroes and ones: bits. We can’t escape this explosion of digital information and few of us want to–the benefits are too seductive. The technology has enabled unprecedented innovation,... | | Python Text Processing with NLTK 2.0 Cookbook
Natural Language Processing is used everywhere - in search engines, spell checkers, mobile phones, computer games - even your washing machine. Python's Natural Language Toolkit (NTLK) suite of libraries has rapidly emerged as one of the most efficient tools for Natural Language Processing. You want to employ nothing less than the best... |
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Cognition in A Digital WorldMassive changes are occurring in society regarding the delivery of information to individuals and the way individuals process this information. These changes happen at work, at home, and in schools; the Internet and the World Wide Web (WWW) are changing people’s working lives, leisure time, work settings, and educational... | | | | Designing Human Interface in Speech TechnologyDesigning Human Interface in Speech Technology bridges a gap between the needs of the technical engineer and cognitive researchers working in the multidisciplinary area of speech technology applications. The approach is systematic and the focus is on the utility of developing and designing speech related products.... |
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Machine Learning for Audio, Image and Video Analysis: Theory and ApplicationsMachine Learning involves several scientific domains including mathematics, computer science, statistics and biology, and is an approach that enables computers to automatically learn from data. Focusing on complex media and how to convert raw data into useful information, this book offers both introductory and advanced material in the combined... | | Bayesian Reasoning and Machine Learning
We live in a world that is rich in data, ever increasing in scale. This data comes from many dierent
sources in science (bioinformatics, astronomy, physics, environmental monitoring) and commerce (customer
databases, nancial transactions, engine monitoring, speech recognition, surveillance, search). Possessing
the knowledge as to... | | |
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