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WEBI
2009
Springer
14 years 2 months ago
Rank Aggregation Based Text Feature Selection
Filtering feature selection method (filtering method, for short) is a well-known feature selection strategy in pattern recognition and data mining. Filtering method outperforms ot...
Ou Wu, Haiqiang Zuo, Mingliang Zhu, Weiming Hu, Ju...
POPL
1997
ACM
13 years 12 months ago
Shape Types
Type systems currently available for imperative languages are too weak to detect a significant class of programming errors. For example, they cannot express the property that a l...
Pascal Fradet, Daniel Le Métayer
JCB
2007
118views more  JCB 2007»
13 years 7 months ago
Discovering Topological Motifs Using a Compact Notation
Discovering topological motifs or common topologies in one or more graphs is an important as well as an interesting problem. It had been classically viewed as the subgraph isomorp...
Laxmi Parida
KDD
2008
ACM
217views Data Mining» more  KDD 2008»
14 years 8 months ago
Stream prediction using a generative model based on frequent episodes in event sequences
This paper presents a new algorithm for sequence prediction over long categorical event streams. The input to the algorithm is a set of target event types whose occurrences we wis...
Srivatsan Laxman, Vikram Tankasali, Ryen W. White
RECOMB
1999
Springer
14 years 1 days ago
Classifying proteins by family using the product of correlated p-values
An important goal in bioinformatics is determining the homology and function of proteins from their sequences. Pairwise sequence similarity algorithms are often employed for this ...
Timothy L. Bailey, William Noble Grundy