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CSL
2010
Springer
15 years 3 months ago
Active learning and semi-supervised learning for speech recognition: A unified framework using the global entropy reduction maxi
We propose a unified global entropy reduction maximization (GERM) framework for active learning and semi-supervised learning for speech recognition. Active learning aims to select...
Dong Yu, Balakrishnan Varadarajan, Li Deng, Alex A...
118
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ALMOB
2006
155views more  ALMOB 2006»
15 years 3 months ago
Refining motifs by improving information content scores using neighborhood profile search
The main goal of the motif finding problem is to detect novel, over-represented unknown signals in a set of sequences (e.g. transcription factor binding sites in a genome). The mo...
Chandan K. Reddy, Yao-Chung Weng, Hsiao-Dong Chian...
BMCBI
2007
178views more  BMCBI 2007»
15 years 3 months ago
SVM clustering
Background: Support Vector Machines (SVMs) provide a powerful method for classification (supervised learning). Use of SVMs for clustering (unsupervised learning) is now being cons...
Stephen Winters-Hilt, Sam Merat
JCB
2006
140views more  JCB 2006»
15 years 3 months ago
HAPLOFREQ-Estimating Haplotype Frequencies Efficiently
A commonly used tool in disease association studies is the search for discrepancies between the haplotype distribution in the case and control populations. In order to find this d...
Eran Halperin, Elad Hazan
JGAA
2006
120views more  JGAA 2006»
15 years 3 months ago
Distributing Unit Size Workload Packages in Heterogeneous Networks
The task of balancing dynamically generated work load occurs in a wide range of parallel and distributed applications. Diffusion based schemes, which belong to the class of neares...
Robert Elsässer, Burkhard Monien, Stefan Scha...