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PAA
2002
15 years 11 days ago
Hierarchical Fusion of Multiple Classifiers for Hyperspectral Data Analysis
: Many classification problems involve high dimensional inputs and a large number of classes. Multiclassifier fusion approaches to such difficult problems typically centre around s...
Shailesh Kumar, Joydeep Ghosh, Melba M. Crawford
ECML
2006
Springer
15 years 4 months ago
Margin-Based Active Learning for Structured Output Spaces
In many complex machine learning applications there is a need to learn multiple interdependent output variables, where knowledge of these interdependencies can be exploited to impr...
Dan Roth, Kevin Small
CHI
2008
ACM
16 years 1 months ago
What to do when search fails: finding information by association
Sometimes people cannot remember the names or locations of things on their computer, but they can remember what other things are associated with them. We created Feldspar, the fir...
Duen Horng Chau, Brad A. Myers, Andrew Faulring
103
Voted
BMCBI
2005
190views more  BMCBI 2005»
15 years 18 days ago
Species-specific analysis of protein sequence motifs using mutual information
Background: Protein sequence motifs are by definition short fragments of conserved amino acids, often associated with a specific function. Accordingly protein sequence profiles de...
Jan Hummel, Nima Keshvari, Wolfram Weckwerth, Joac...
PKDD
2010
Springer
178views Data Mining» more  PKDD 2010»
14 years 10 months ago
Graph Regularized Transductive Classification on Heterogeneous Information Networks
A heterogeneous information network is a network composed of multiple types of objects and links. Recently, it has been recognized that strongly-typed heterogeneous information net...
Ming Ji, Yizhou Sun, Marina Danilevsky, Jiawei Han...