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» A Calculus for Data Mapping
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WEBI
2007
Springer
15 years 4 months ago
Growing Hierarchical Self-Organizing Maps for Web Mining
— Many information retrieval and machine learning methods have not evolved in order to be applied to the Web. Two main problems in applying some machine learning techniques for W...
Joseph P. Herbert, Jingtao Yao
ISCAS
2005
IEEE
154views Hardware» more  ISCAS 2005»
15 years 3 months ago
An automated methodology for memory-conscious mapping of DSP applications on coarse-grain reconfigurable arrays
—This paper presents a memory-conscious mapping methodology of computational intensive applications on coarse-grain reconfigurable arrays. By exploiting the inherent abundant amo...
Michalis D. Galanis, Gregory Dimitroulakos, Consta...
NPL
2000
95views more  NPL 2000»
14 years 9 months ago
Bayesian Sampling and Ensemble Learning in Generative Topographic Mapping
Generative topographic mapping (GTM) is a statistical model to extract a hidden smooth manifold from data, like the self-organizing map (SOM). Although a deterministic search algo...
Akio Utsugi
NECO
1998
116views more  NECO 1998»
14 years 9 months ago
GTM: The Generative Topographic Mapping
Latent variable models represent the probability density of data in a space of several dimensions in terms of a smaller number of latent, or hidden, variables. A familiar example ...
Christopher M. Bishop, Markus Svensén, Chri...
AI
2011
Springer
14 years 1 months ago
Subspace Mapping of Noisy Text Documents
Abstract. Subspace mapping methods aim at projecting high-dimensional data into a subspace where a specific objective function is optimized. Such dimension reduction allows the re...
Axel J. Soto, Marc Strickert, Gustavo E. Vazquez, ...