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Three approaches to qualitative content analysis.

by Hsiu-Fang Hsieh , Sarah E Shannon , 2005
"... Content analysis is a widely used qualitative Researchers regard content analysis as a flexible method for analyzing text data The differentiation of content analysis is usually limited to classifying it as primarily a qualitative versus quantitative research method. A more thorough analysis of th ..."
Abstract - Cited by 729 (0 self) - Add to MetaCart
Content analysis is a widely used qualitative Researchers regard content analysis as a flexible method for analyzing text data The differentiation of content analysis is usually limited to classifying it as primarily a qualitative versus quantitative research method. A more thorough analysis

Features of similarity.

by Amos Tversky - Psychological Review , 1977
"... Similarity plays a fundamental role in theories of knowledge and behavior. It serves as an organizing principle by which individuals classify objects, form concepts, and make generalizations. Indeed, the concept of similarity is ubiquitous in psychological theory. It underlies the accounts of stimu ..."
Abstract - Cited by 1455 (2 self) - Add to MetaCart
in terms of a few quantitative dimensions. The assessment of similarity between such stimuli, therefore, may be better described as a comparison of features rather than as the computation of metric distance between points. A metric distance function, d, is a scale that assigns to every pair of points a

Mapping the Gnutella network: Properties of large-scale peer-to-peer systems and implications for system design

by Matei Ripeanu, Ian Foster, Adriana Iamnitchi - IEEE Internet Computing Journal , 2002
"... Despite recent excitement generated by the peer-to-peer (P2P) paradigm and the surprisingly rapid deployment of some P2P applications, there are few quantitative evaluations of P2P systems behavior. The open architecture, achieved scale, and self-organizing structure of the Gnutella network make it ..."
Abstract - Cited by 361 (23 self) - Add to MetaCart
Despite recent excitement generated by the peer-to-peer (P2P) paradigm and the surprisingly rapid deployment of some P2P applications, there are few quantitative evaluations of P2P systems behavior. The open architecture, achieved scale, and self-organizing structure of the Gnutella network make

Toward a Conceptual Framework for Mixed-Method Evaluation Designs. Educational Evaluation and Policy Analysis

by Jennifer C. Greene, Valerie J. Caracelli, Wendy F. Graham , 1989
"... In recent years evaluators of educational and social programs have expanded their method-ological repertoire with designs that include the use of both qualitative and quantitative methods. Such practice, however, needs to be grounded in a theory that can meaningfully guide the design and implementat ..."
Abstract - Cited by 404 (3 self) - Add to MetaCart
In recent years evaluators of educational and social programs have expanded their method-ological repertoire with designs that include the use of both qualitative and quantitative methods. Such practice, however, needs to be grounded in a theory that can meaningfully guide the design

The tradeoffs of large scale learning

by Léon Bottou, Olivier Bousquet - IN: ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 20 , 2008
"... This contribution develops a theoretical framework that takes into account the effect of approximate optimization on learning algorithms. The analysis shows distinct tradeoffs for the case of small-scale and large-scale learning problems. Small-scale learning problems are subject to the usual approx ..."
Abstract - Cited by 270 (4 self) - Add to MetaCart
This contribution develops a theoretical framework that takes into account the effect of approximate optimization on learning algorithms. The analysis shows distinct tradeoffs for the case of small-scale and large-scale learning problems. Small-scale learning problems are subject to the usual

Meme-tracking and the Dynamics of the News Cycle

by Jure Leskovec , Lars Backstrom, Jon Kleinberg , 2009
"... Tracking new topics, ideas, and “memes” across the Web has been an issue of considerable interest. Recent work has developed methods for tracking topic shifts over long time scales, as well as abrupt spikes in the appearance of particular named entities. However, these approaches are less well suite ..."
Abstract - Cited by 363 (15 self) - Add to MetaCart
in the news media that have long been the subject of qualitative interpretation but have never been captured accurately enough to permit actual quantitative analysis. We tracked 1.6 million mainstream media sites and blogs over a period of three months with the total of 90 million articles and we find a set

The Spatial Semantic Hierarchy

by Benjamin Kuipers, Rob Browning, Bill Gribble, Mike Hewett, Emilio Remolina - Artificial Intelligence , 2000
"... The Spatial Semantic Hierarchy is a model of knowledge of large-scale space consisting of multiple interacting representations, both qualitative and quantitative. The SSH is inspired by the properties of the human cognitive map, and is intended to serve both as a model of the human cognitive map and ..."
Abstract - Cited by 339 (35 self) - Add to MetaCart
The Spatial Semantic Hierarchy is a model of knowledge of large-scale space consisting of multiple interacting representations, both qualitative and quantitative. The SSH is inspired by the properties of the human cognitive map, and is intended to serve both as a model of the human cognitive map

Personality and leadership: A qualitative and quantitative review.

by Timothy A Judge , Joyce E Bono , Remus Ilies , Megan W Gerhardt - Applied Psychology, , 2002
"... This article provides a qualitative review of the trait perspective in leadership research, followed by a meta-analysis. The authors used the five-factor model as an organizing framework and meta-analyzed 222 correlations from 73 samples. Overall, the correlations with leadership were Neuroticism ϭ ..."
Abstract - Cited by 233 (9 self) - Add to MetaCart
This article provides a qualitative review of the trait perspective in leadership research, followed by a meta-analysis. The authors used the five-factor model as an organizing framework and meta-analyzed 222 correlations from 73 samples. Overall, the correlations with leadership were Neuroticism

Large-scale machine learning with stochastic gradient descent

by Léon Bottou - in COMPSTAT , 2010
"... Abstract. During the last decade, the data sizes have grown faster than the speed of processors. In this context, the capabilities of statistical machine learning methods is limited by the computing time rather than the sample size. A more precise analysis uncovers qualitatively different tradeoffs ..."
Abstract - Cited by 163 (1 self) - Add to MetaCart
for the case of small-scale and large-scale learning problems. The large-scale case involves the computational complexity of the underlying optimization algorithm in non-trivial ways. Unlikely optimization algorithms such as stochastic gradient descent show amazing performance for large-scale problems

On the Scale and Performance of Cooperative Web Proxy Caching

by Alec Wolman, Geoffrey M. Voelker, Nitin Sharma, Neal Cardwell, Anna Karlin, Henry M. Levy - ACM Symposium on Operating Systems Principles , 1999
"... While algorithms for cooperative proxy caching have been widely studied, little is understood about cooperative-caching performance in the large-scale World Wide Web environment. This paper uses both trace-based analysis and analytic modelling to show the potential advantages and drawbacks of inter- ..."
Abstract - Cited by 313 (15 self) - Add to MetaCart
While algorithms for cooperative proxy caching have been widely studied, little is understood about cooperative-caching performance in the large-scale World Wide Web environment. This paper uses both trace-based analysis and analytic modelling to show the potential advantages and drawbacks of inter
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