"Kernel Based Algorithms for Mining Huge Data Sets" is the first book treating the fields of supervised, semi-supervised and unsupervised machine learning collectively. The book presents both the theory and the algorithms for mining huge data sets by using support vector machines (SVMs) in an iterative way. It demonstrates how kernel...

This comprehensive reference discusses the use of ultrasound, computed tomography (CT), magnetic resonance imaging (MRI), and radioisotopes in the imaging of the adult and pediatric urinary tract. With contributions by leading authorities in the field, this source covers a wide array of uroradiological topics ranging from the use of MRI or...

One of the most significant areas of advance in clinical medicine over the last 20 years has been in the imaging technologies. It is difficult to point to the single method or application that has benefited most from those advances because nearly all specialities in medicine have been involved. Perhaps the most significant trend, however, has...

This book teaches readers how to systematically design efficient, portable, and scalable Register Transfer Level (RTL) digital circuits using the VHDL hardware description language and synthesis software. Focusing on the module-level design, which is composed of functional...

The Second Edition of this now-classic text provides a current and thorough treatment of queueing systems, queueing networks, continuous and discrete-time Markov chains, and simulation. Thoroughly updated with...

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