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ECML
2007
Springer
15 years 10 months ago
Probabilistic Explanation Based Learning
Abstract. Explanation based learning produces generalized explanations from examples. These explanations are typically built in a deductive manner and they aim to capture the essen...
Angelika Kimmig, Luc De Raedt, Hannu Toivonen
HUMO
2000
Springer
15 years 7 months ago
A Computational Model for Motion Detection and Direction Discrimination in Humans
Seeing biological motion is very important for both humans and computers. Psychophysics experiments show that the ability of our visual system for biological motion detection and ...
Yang Song, Pietro Perona
ICDM
2006
IEEE
152views Data Mining» more  ICDM 2006»
15 years 10 months ago
Application of Graph-based Data Mining to Metabolic Pathways
We present a method for finding biologically meaningful patterns on metabolic pathways using the SUBDUE graph-based relational learning system. A huge amount of biological data t...
Chang Hun You, Lawrence B. Holder, Diane J. Cook
BMCBI
2010
110views more  BMCBI 2010»
15 years 4 months ago
Discovering local patterns of co - evolution: computational aspects and biological examples
Background: Co-evolution is the process in which two (or more) sets of orthologs exhibit a similar or correlative pattern of evolution. Co-evolution is a powerful way to learn abo...
Tamir Tuller, Yifat Felder, Martin Kupiec
ECCB
2005
IEEE
15 years 9 months ago
A query language for biological networks
Many areas of modern biology are concerned with the management, storage, visualization, comparison, and analysis of networks. For instance, networks are used to model signal trans...
Ulf Leser