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ANNPR
2006
Springer
13 years 11 months ago
Hierarchical Neural Networks Utilising Dempster-Shafer Evidence Theory
Abstract. Hierarchical neural networks show many benefits when employed for classification problems even when only simple methods analogous to decision trees are used to retrieve t...
Rebecca Fay, Friedhelm Schwenker, Christian Thiel,...
ILP
2003
Springer
14 years 1 months ago
Graph Kernels and Gaussian Processes for Relational Reinforcement Learning
RRL is a relational reinforcement learning system based on Q-learning in relational state-action spaces. It aims to enable agents to learn how to act in an environment that has no ...
Thomas Gärtner, Kurt Driessens, Jan Ramon
ICDE
2007
IEEE
207views Database» more  ICDE 2007»
14 years 9 months ago
SIGOPT: Using Schema to Optimize XML Query Processing
There has been a great deal of work in recent years on processing and optimizing queries against XML data. Typically in these previous works, schema information is not considered,...
Stelios Paparizos, Jignesh M. Patel, H. V. Jagadis...
BMCBI
2006
143views more  BMCBI 2006»
13 years 8 months ago
Fast estimation of the difference between two PAM/JTT evolutionary distances in triplets of homologous sequences
Background: The estimation of the difference between two evolutionary distances within a triplet of homologs is a common operation that is used for example to determine which of t...
Christophe Dessimoz, Manuel Gil, Adrian Schneider,...
BMCBI
2011
13 years 2 months ago
A discriminative method for family-based protein remote homology detection that combines inductive logic programming and proposi
Background: Remote homology detection is a hard computational problem. Most approaches have trained computational models by using either full protein sequences or multiple sequenc...
Juliana S. Bernardes, Alessandra Carbone, Gerson Z...