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- Browsing Computing and Mathematical Sciences Papers by Title
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Browsing Computing and Mathematical Sciences Papers by Title
Now showing items 62-81 of 976
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(2011)Ensemble selection has recently appeared as a popular ensemble learning method, not only because its implementation is fairly straightforward, but also due to its excellent predictive performance on practical problems. The ... -
(Springer, 2012)Bagging ensemble selection (BES) is a relatively new ensemble learning strategy. The strategy can be seen as an ensemble of the ensemble selection from libraries of models (ES) strategy. Previous experimental results on ... -
(2004)The data stream model for data mining places harsh restrictions on a learning algorithm. First, a model must be induced incrementally. Second, processing time for instances must keep up with their speed of arrival. Third, ... -
(Springer, 2012)Many real world problems involve the challenging context of data streams, where classifiers must be incremental: able to learn from a theoretically- infinite stream of examples using limited time and memory, while being ...
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(2004)Various Bayesian network classifier learning algorithms are implemented in Weka [10].This note provides some user documentation and implementation details. Summary of main capabilities: _Structure learning of Bayesian ... -
(Springer, 2005)A challenging problem in data mining is the application of efficient techniques to automatically annotate the vast databases of biological sequence data. This paper describes one such application in this area, to the ... -
(University of Waikato, Department of Computer Science, 2000)Data engineering is generally considered to be a central issue in the development of data mining applications. The success of many learning schemes, in their attempts to construct models of data, hinges on the reliable ... -
(University of Waikato, Department of Computer Science, 2002)Data engineering is generally considered to be a central issue in the development of data mining applications. The success of many learning schemes, in their attempts to construct models of data, hinges on the reliable ... -
(IEEE Computer Society, 2001)Word-based context models for text compression have the capacity to outperform more simple character-based models, but are generally unattractive because of inherent problems with exponential model growth and corresponding ... -
(Springer, 2008)We have created an experimental prototype that enhances an ordinary personal media player by adding digital library capabilities. It does not enable access to a remote digital library from a user’s PDA; rather, it runs a ...
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(2011)MITI is a simple and elegant decision tree learner designed for multi-instance classification problems, where examples for learning consist of bags of instances. MITI grows a tree in best-first manner by maintaining a ...
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(1996)Most bi-level images stored on computers today comprise scanned text, and their number is escalating because of the drive to archive large volumes of paper-based material electronically. These documents are stored using ... -
(University of Waikato, Department of Computer Science, 1995)The field of bibliometrics provides a set of quantitative methods for understanding how scientific information is created and disseminated by examining the structure, rather than the content, of subject documents. Bibliographic ... -
(ACM, 2012)Little is known about how readers select books, whether they be print books or ebooks. In this paper we present a study of how people select physical books from academic library shelves. We use the insights gained into ...
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(ACM, 2011)We have been developing electronic Realistic Books that combine the natural advantages of electronic documents---full-text search, hyperlinks, animation, multimedia---with those of conventional books---the ambient information ...
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(University of Waikato, Department of Computer Science, 1998)This paper explores two boosting techniques for cost-sensitive tree classification in the situation where misclassification costs change very often. Ideally, one would like to have only one induction, and use the induced ... -
(2001)Traditionally, to find information in a newspaper collection it has been necessary to painstakingly browse through the individual issues hoping that relevant words will catch your eye. Researchers of New Zealand’s encounter ... -
(University of Waikato, Department of Computer Science, 2013)Library users should be conveniently interact with collections and be able to easily choose books of interest as they explore and browse a physical book collection. While there exists a growing body of naturalistic studies ... -
(Springer Berlin, 2000)What will it be like to work in tomorrow’s digital library? We begin by browsing around an experimental digital library of the present, glancing at some collections and showing how they are organized. Then we look to the ...
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(1997)A key question for digital libraries is this: how should one go about becoming familiar with a digital collection, as opposed to a physical one? Digital collections generally present an appearance which is extremely opaque-a ...
Now showing items 62-81 of 976