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» Knowledge Discovery in Biological and Chemical Domains
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AI
2006
Springer
13 years 7 months ago
Discovering the linear writing order of a two-dimensional ancient hieroglyphic script
This paper demonstrates how machine learning methods can be applied to deal with a realworld decipherment problem where very little background knowledge is available. The goal is ...
Shou de Lin, Kevin Knight
GECCO
2005
Springer
154views Optimization» more  GECCO 2005»
14 years 1 months ago
The molecule evoluator: an interactive evolutionary algorithm for designing drug molecules
To help chemists design new drugs, we created a tool that uses interactive evolution to design drug molecules, the “Molecule Evoluator”. In contrast to most other evolutionary...
Eric-Wubbo Lameijer, Adriaan P. IJzerman, Joost N....
ISMDA
2005
Springer
14 years 1 months ago
The Ontological Lens: Zooming in and out from Genomic to Clinical Level
Abstract. Ontology is the talk of the day in the medical informatics comm.unity. Its relevant role in the design and implementation of information systems in health care is now wid...
Domenico M. Pisanelli, Francesco Pinciroli, Marco ...
BMCBI
2010
123views more  BMCBI 2010»
13 years 2 months ago
Predicting conserved protein motifs with Sub-HMMs
Background: Profile HMMs (hidden Markov models) provide effective methods for modeling the conserved regions of protein families. A limitation of the resulting domain models is th...
Kevin Horan, Christian R. Shelton, Thomas Girke
AIIA
2005
Springer
14 years 1 months ago
Towards Fault-Tolerant Formal Concept Analysis
Given Boolean data sets which record properties of objects, Formal Concept Analysis is a well-known approach for knowledge discovery. Recent application domains, e.g., for very lar...
Ruggero G. Pensa, Jean-François Boulicaut