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Journals ACM SIGACT News Volume 34 Issue 2

2. Learning with Kernels (Support Vector Machines, Regularization, Optimization, and Beyond) Bernard Scholkopf and Alexander Smola. 3. Learning Kernel Classifiers by Herbrich. 4. Boolean Functions and Computation Models by Clote and Kranakis. Review of A l g o r i t h m s S e q u e n t i a l & P a r a l l e l : A U n i f i e d A p p r o a c h 2 A u t h o r s o f B o o k : R. M i l l e r & L. B o x e r P r e n t i c e H a l l 2000, 330 pages, $68.00 R e v i e w e d b y A n t h o n y W i d j a j a Melbourne University Introduction Nowadays, the study of parallel algorithms has become a more mainstream topic in computer science partly because of the difficult problems in fields such as computational biology and computational geometry, to name a few. There have been several different approaches to teaching this topic at university

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Review of Algorithms sequential & parallel: a unified approach by R. Miller & L. Boxer. Prentice Hall 2000

Reviewer-Widjaja, Anthony
ACM SIGACT News , Volume 34 (2)
Association for Computing Machinery – Jun 1, 2003

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