Results 251 to 260 of about 105,757,333 (286)
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Journal of Business Strategy, 1999
You can collect huge masses of data about your customers, but if you don't sort it, it won't do you any good. Mapping software may be just what you need.
Sunny Baker, Kim Baker
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You can collect huge masses of data about your customers, but if you don't sort it, it won't do you any good. Mapping software may be just what you need.
Sunny Baker, Kim Baker
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Multidimensional divide-and-conquer
Communications of the ACM, 1980Most results in the field of algorithm design are single algorithms that solve single problems. In this paper we discuss multidimensional divide-and-conquer , an algorithmic paradigm that can be instantiated in many different ways to yield a number of algorithms and data structures for ...
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Nature, 2005
Abstract This wide-ranging book is the first to examine one of the most significant and characteristic features of modern medicine—specialization—in historical and comparative context. Based on research in three languages, it traces the origins of modern medical specialization to 1830s Paris and examines its spread to Germany, Britain ...
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Abstract This wide-ranging book is the first to examine one of the most significant and characteristic features of modern medicine—specialization—in historical and comparative context. Based on research in three languages, it traces the origins of modern medical specialization to 1830s Paris and examines its spread to Germany, Britain ...
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On dividing and conquering independently
1997We suggest that the components of the well known divide-and-conquer paradigm can be profitably presented as independent constructs in a skeletal parallel programming model. We investigate this proposal through the expression of Batcher's bitonic sorting algorithm.
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Divide-and-Conquer for Parallel Processing
IEEE Transactions on Computers, 1983The well known divide-and-conquer paradigm has proved to be useful for deriving efficient algorithms for many problems. Several researchers have pointed out its usefulness for parallel processing; however, the problem of analyzing such parallel algorithms in a realistic setting has been largely overlooked. In this paper a realistic model for divide-and-
Ellis Horowitz, Alessandro Zorat
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The Divide-and-Conquer Manifesto
2001Existing machine learning theory and algorithms have focused on learning an unknown function from training examples, where the unknown function maps from a feature vector to one of a small number of classes. Emerging applications in science and industry require learning much more complex functions that map from complex input spaces (e.g., 2-dimensional
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Abstract The methods of Peter Ramus sweep across Europe, winning adherents and facing stiff opposition in equal measure.
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