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ADAC
2007
58views more  ADAC 2007»
13 years 10 months ago
Generalized mixture models, semi-supervised learning, and unknown class inference
In this paper, we discuss generalized mixture models and related semi-supervised learning methods, and show how they can be used to provide explicit methods for unknown class infer...
Samuel J. Frame, Sreenivasa Rao Jammalamadaka
BMCBI
2008
126views more  BMCBI 2008»
13 years 10 months ago
Discovery of dominant and dormant genes from expression data using a novel generalization of SNR for multi-class problems
Background: The Signal-to-Noise-Ratio (SNR) is often used for identification of biomarkers for two-class problems and no formal and useful generalization of SNR is available for m...
Yu-Shuen Tsai, Chin-Teng Lin, George C. Tseng, I-F...
CORR
2006
Springer
151views Education» more  CORR 2006»
13 years 10 months ago
A general computation rule for lossy summaries/messages with examples from equalization
Abstract-- Elaborating on prior work by Minka, we formulate a general computation rule for lossy messages. An important special case (with many applications in communications) is t...
Junli Hu, Hans-Andrea Loeliger, Justin Dauwels, Fr...
CSDA
2006
72views more  CSDA 2006»
13 years 10 months ago
Generalized theory of uncertainty (GTU) - principal concepts and ideas
Uncertainty is an attribute of information. The path-breaking work of Shannon has led to a universal acceptance of the thesis that information is statistical in nature. Concomitan...
Lotfi A. Zadeh
IR
2008
13 years 10 months ago
Efficient algorithms for pattern matching with general gaps, character classes, and transposition invariance
We develop efficient dynamic programming algorithms for pattern matching with general gaps and character classes. We consider patterns of the form p0g(a0, b0)p1g(a1, b1) . . . pm-1...
Kimmo Fredriksson, Szymon Grabowski