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» A Bayesian Approach to Tackling Hard Computational Problems
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SIGIR
2003
ACM
15 years 2 months ago
Domain-independent text segmentation using anisotropic diffusion and dynamic programming
This paper presents a novel domain-independent text segmentation method, which identifies the boundaries of topic changes in long text documents and/or text streams. The method c...
Xiang Ji, Hongyuan Zha
ACMDIS
2000
ACM
15 years 1 months ago
PaperButtons: Expanding a Tangible User Interface
: Expanding the functionality of a successful system is always a challenge; the initial simplicity and ease-of-use is easily lost in the process. Experience indicates that this pro...
Elin Rønby Pedersen, Tomas Sokoler, Les Nel...
AVI
2010
14 years 11 months ago
Advanced visual analytics interfaces
Advanced visual interfaces, like the ones found in informaualization, intend to offer a view on abstract data spaces to enable users to make sense of them. By mapping data to visu...
Daniel A. Keim, Peter Bak, Enrico Bertini, Daniela...

Book
778views
16 years 7 months ago
Gaussian Processes for Machine Learning
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
Carl Edward Rasmussen and Christopher K. I. Willia...
106
Voted
KDD
2007
ACM
165views Data Mining» more  KDD 2007»
15 years 10 months ago
Finding low-entropy sets and trees from binary data
The discovery of subsets with special properties from binary data has been one of the key themes in pattern discovery. Pattern classes such as frequent itemsets stress the co-occu...
Eino Hinkkanen, Hannes Heikinheimo, Heikki Mannila...