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Lives and Anecdotes of Misers: Or, the Passion of Avarice Displayed in the Parsimonious Habits, Unaccountable Lives and Remarkable Deaths of the Most Notorious ... With a Few Words on Frugality and Saving.
Lives and Anecdotes of Misers: Or, the Passion of Avarice Displayed in the Parsimonious Habits, Unaccountable Lives and Remarkable Deaths of the Most Notorious ... With a Few Words on Frugality and Saving.

$18.98
This volume is produced from digital images created through the University of Michigan University Library's preservation reformatting program. The Library seeks to preserve the intellectual content of items in a manner that facilitates and promotes a variety of uses. The digital reformatting process results in an electronic version of the text that can both be accessed online and used to create new print copies. This book and thousands of others can be found in the digital collections of the University of Michigan Library. The University Library also understands and values the utility of print, and makes reprints available through its Scholarly Publishing Office.
An empirical study of query expansion and cluster-based retrieval in language modeling approach [An article from: Information Processing and Management]
An empirical study of query expansion and cluster-based retrieval in language modeling approach [An article from: Information Processing and Management]

$7.95
This digital document is a journal article from Information Processing and Management, published by Elsevier in 2007. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.

Description:
The term mismatch problem in information retrieval is a critical problem, and several techniques have been developed, such as query expansion, cluster-based retrieval and dimensionality reduction to resolve this issue. Of these techniques, this paper performs an empirical study on query expansion and cluster-based retrieval. We examine the effect of using parsimony in query expansion and the effect of clustering algorithms in cluster-based retrieval. In addition, query expansion and cluster-based retrieval are compared, and their combinations are evaluated in terms of retrieval performance by performing experimentations on seven test collections of NTCIR and TREC.
Impact of the length of observed records on the performance of ANN and of conceptual parsimonious rainfall-runoff forecasting models [An article from: Environmental Modelling and Software]
Impact of the length of observed records on the performance of ANN and of conceptual parsimonious rainfall-runoff forecasting models [An article from: Environmental Modelling and Software]

$8.95
This digital document is a journal article from Environmental Modelling and Software, published by Elsevier in 2004. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.

Description:
Although attractive to hydrologists, artificial neural network modeling still lacks norms that would help modelers to create and train efficient rainfall-runoff models in a systematic way. This study focuses on the impact of the length of observed records on the performance of multiple-layer perceptrons (MLPs), and compare their results with those of a parsimonious conceptual model equipped with an updating scheme. Both models were assessed for 1-day-ahead stream flow predictions. Ninety-two different model scenarios were obtained for 1-, 3-, 5-, 9-, and 15-year time sub-series created from a 24-year training set, shifting by a 1-year sliding window. All the model scenarios were verified against the same 7-year test set. The results revealed that MLP stream flow mapping was efficient as long as wet weather data were available for the training; the longer series implicitly guarantee that the data contain valuable information of the hydrological behavior; the results were consistent with those reported for conceptual rainfall-runoff models. The physical knowledge in the conceptual models allowed them to make much better use of 1-year training sets than the MLPs. However, longer training sets were more beneficial to the MLPs than to the conceptual model. Both types shared best performance about evenly for 3- and 5-year training sets, but MLPs did better whenever the training set was dominated by wet weather. The MLPs continued to improve for input vectors of 9 years and more, which was not the case of the conceptual model.
The Parsimonious Universe: Shape and Form in the Natural World
The Parsimonious Universe: Shape and Form in the Natural World

$32.00
If any artists are exploring reference material on shape, form and design in nature, this book explains why nature does 'create' it's unique self. It does tend to explain and breakdown natural shapes into mathematical equations and theorims. Still the photos they provide and the line drawings help you to understand why things are the way they are. Useful if you want to create hybrids of these forms. A intelligent imagination is useful. My applications for this are from a 3D fine arts point of view. The info in the book has provided me with inspiration in my 3D artwork. Sincerely Andre Ribuoli dreko@aol.com

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