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BICOB
2010
Springer
14 years 8 months ago
Multiple Kernel Learning for Fold Recognition
Fold recognition is a key problem in computational biology that involves classifying protein sharing structural similarities into classes commonly known as "folds". Rece...
Huzefa Rangwala
60
Voted
ICPR
2006
IEEE
15 years 11 months ago
Efficient, Simultaneous Detection of Multiple Object Classes
At present, the object categorisation literature is still dominated by the use of individual class detectors. Detecting multiple classes then implies the subsequent application of...
Esther Koller-Meier, Luc J. Van Gool, Philipp Zehn...
SDM
2008
SIAM
130views Data Mining» more  SDM 2008»
14 years 12 months ago
Mining Sequence Classifiers for Early Prediction
Supervised learning on sequence data, also known as sequence classification, has been well recognized as an important data mining task with many significant applications. Since te...
Zhengzheng Xing, Jian Pei, Guozhu Dong, Philip S. ...
VLDB
1995
ACM
181views Database» more  VLDB 1995»
15 years 2 months ago
NeuroRule: A Connectionist Approach to Data Mining
Classification, which involves finding rules that partition a given da.ta set into disjoint groups, is one class of data mining problems. Approaches proposed so far for mining cla...
Hongjun Lu, Rudy Setiono, Huan Liu
STOC
1996
ACM
92views Algorithms» more  STOC 1996»
15 years 2 months ago
Constructing Evolutionary Trees in the Presence of Polymorphic Characters
Abstract. Most phylogenetics literature and construction methods based upon characters presume monomorphism (one state per character per species), yet polymorphism (multiple states...
Maria Luisa Bonet, Cynthia A. Phillips, Tandy Warn...