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BMCBI
2006
105views more  BMCBI 2006»
15 years 7 months ago
CRNPRED: highly accurate prediction of one-dimensional protein structures by large-scale critical random networks
Background: One-dimensional protein structures such as secondary structures or contact numbers are useful for three-dimensional structure prediction and helpful for intuitive unde...
Akira R. Kinjo, Ken Nishikawa
AMAI
1999
Springer
15 years 6 months ago
STCSP - Structured Temporal Constraint satisfaction Problems
Temporal Constraint Satisfaction Problems (TCSP) is a well known approach for representing and processing temporal knowledge. Important properties of the knowledge can be inferred...
Mira Balaban, Tzachi Rosen
ML
1998
ACM
131views Machine Learning» more  ML 1998»
15 years 6 months ago
Learning from Examples and Membership Queries with Structured Determinations
It is well known that prior knowledge or bias can speed up learning, at least in theory. It has proved di cult to make constructive use of prior knowledge, so that approximately c...
Prasad Tadepalli, Stuart J. Russell
DEBU
2010
138views more  DEBU 2010»
15 years 4 months ago
A Rule-Based Citation System for Structured and Evolving Datasets
We consider the requirements that a citation system must fulfill in order to cite structured and evolving data sets. Such a system must take into account variable granularity, con...
Peter Buneman, Gianmaria Silvello
3DOR
2010
15 years 1 months ago
Learning the Compositional Structure of Man-Made Objects for 3D Shape Retrieval
While approaches based on local features play a more and more important role for 3D shape retrieval, the problems of feature selection and similarity measurement between sets of l...
Raoul Wessel, Reinhard Klein