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Large-scale Kernel Machines
Solutions for learning from large scale datasets, including kernel learning algorithms that scale linearly with the volume of the data and experiments carried out on realistically large datasets. 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 of the data. This volume offers researchers and engineers practical solutions for learning from large scale ...
Lives Lived, Lives Imagined
Perceptive, controversial, topical, and achingly funny, Miriam Toews’s books have earned her a place at the forefront of Canadian literature. In this first monograph on Toews’s work, Sabrina Reed examines the interplay of trauma and resilience in the author’s fiction. Reed skillfully demonstrates how Toews situates resilience across key themes, including: the home as both a source of trauma and an inspiration for resilient action; the road trip as a search for resolution and redemption; and the reframing of the Mennonite diaspora as an escape from patriarchal oppression. The deaths by suicide of Toews’s father and sister stand out as the most shocking and tragic of the author’s bio...
House of Robots
After a few early glitches in their relationship, Sammy and his 'bro-bot' E are now best friends. In fact, E is such a valued member of the family that the other electronic members of the House of Robots are feeling sorely unappreciated. And when Sammy's inventor mom becomes distracted by a top-secret project, the robots soon begin to fall into disrepair. Cue a robot revolt, with the droids wreaking harmless havoc in the house! Armed with pranks like glue in the shampoo bottles and flying toast missiles, the robots demand to be cared for. It's up to Sammy and his disabled sister Maddie to keep the peace until his mom reveals her secret project... and why it was worth the wait.
The Mobility Forum
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The Problem with Survey Research
The Problem with Survey Research makes a case against survey research as a primary source of reliable information. George Beam argues that all survey research instruments, all types of asking—including polls, face-to-face interviews, and focus groups—produce unreliable and potentially inaccurate results. Because those who rely on survey research only see answers to questions, it is impossible for them, or anyone else, to evaluate the results. They cannot know if the answers correspond to respondents’ actual behaviors (objective phenomena) or to their true beliefs and opinions (subjective phenomena). Reliable information can only be acquired by observation, experimentation, multiple sou...
Iannis Xenakis: Kraanerg
With the benefit of access to sketches and recordings in the Xenakis Archives, James Harley presents analytical and critical discussions of Kraanerg's music and reception, including the relationship of the score to the recorded parts. Harley is a composer with first-hand experience of the interlocking fields of acoustic and electronic music that Xenakis made his own. The book is accompanied by a CD, which helps to conceptualize the extremely complex score.
The Nikkel-Nickel Family of Prussia, Russia, America and Canada
Benjamin Nikkel (1813-1913) was born in Chortitza, southern Russia and died in Ebenfeld, Kansas. He married three times. By 1876, many families emigrated from Russia. Some went to Australia and Canada, while Benjamin's family immigrated to Marion County, Kansas. Some descendants and relatives migrated to Ohio, Pennsylvania, Oklahoma, Colorado, Montana, Texas, California and elsewhere.
Advances in Neural Information Processing Systems 17
Papers presented at NIPS, the flagship meeting on neural computation, held in December 2004 in Vancouver.The annual Neural Information Processing Systems (NIPS) conference is the flagship meeting on neural computation. It draws a diverse group of attendees--physicists, neuroscientists, mathematicians, statisticians, and computer scientists. The presentations are interdisciplinary, with contributions in algorithms, learning theory, cognitive science, neuroscience, brain imaging, vision, speech and signal processing, reinforcement learning and control, emerging technologies, and applications. Only twenty-five percent of the papers submitted are accepted for presentation at NIPS, so the quality is exceptionally high. This volume contains the papers presented at the December, 2004 conference, held in Vancouver.
