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» Evaluating algorithms that learn from data streams
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TIP
2010
182views more  TIP 2010»
15 years 1 months ago
Flexible Manifold Embedding: A Framework for Semi-Supervised and Unsupervised Dimension Reduction
We propose a unified manifold learning framework for semi-supervised and unsupervised dimension reduction by employing a simple but effective linear regression function to map the ...
Feiping Nie, Dong Xu, Ivor Wai-Hung Tsang, Changsh...
PAKDD
2004
ACM
83views Data Mining» more  PAKDD 2004»
16 years 17 days ago
Providing Diversity in K-Nearest Neighbor Query Results
Abstract. Given a point query Q in multi-dimensional space, K-Nearest Neighbor (KNN) queries return the K closest answers in the database with respect to Q. In this scenario, it is...
Anoop Jain, Parag Sarda, Jayant R. Haritsa
BMCBI
2010
135views more  BMCBI 2010»
15 years 7 months ago
Efficient genome-scale phylogenetic analysis under the duplication-loss and deep coalescence cost models
Background: Genomic data provide a wealth of new information for phylogenetic analysis. Yet making use of this data requires phylogenetic methods that can efficiently analyze extr...
Mukul S. Bansal, J. Gordon Burleigh, Oliver Eulens...
WSDM
2009
ACM
161views Data Mining» more  WSDM 2009»
16 years 2 months ago
Predicting the readability of short web summaries
Readability is a crucial presentation attribute that web summarization algorithms consider while generating a querybaised web summary. Readability quality also forms an important ...
Tapas Kanungo, David Orr
BMCBI
2007
128views more  BMCBI 2007»
15 years 7 months ago
Combining classifiers to predict gene function in Arabidopsis thaliana using large-scale gene expression measurements
Background: Arabidopsis thaliana is the model species of current plant genomic research with a genome size of 125 Mb and approximately 28,000 genes. The function of half of these ...
Hui Lan, Rachel Carson, Nicholas J. Provart, Antho...