Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning) Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning community over the past decade, and this book provides a long-needed systematic and unified treatment of theoretical and practical aspects of GPs in machine learning. The... Perception: Essays After Frege
Charles Travis presents a series of connected essays on current topics in philosophy of perception. The book is informed throughout by a number of central insights of Gottlob Frege's, notably about some intrinsic differences between objects of thought and objects of perception, and about the essential publicity of thought, and hence of...
iOS 4 in Action: Examples and Solutions for iPhone & iPad
When I started playing with the first-generation iPhone back in 2008, I was amazed by
the simplicity and versatility of the smart phone. With the iPhone in hand, I could
take pictures, navigate with GPS, tell time, and of course, play games—especially when
I was bored while waiting in line at the DMV for my license plate....
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