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AIR
2006
124views more  AIR 2006»
13 years 6 months ago
Expressiveness of temporal query languages: on the modelling of intervals, interval relationships and states
Abstract Storing and retrieving time-related information are important, or even critical, tasks on many areas of Computer Science (CS) and in particular for Artificial Intelligence...
Rodolfo Sabás Gómez, Juan Carlos Aug...
NIPS
2000
13 years 7 months ago
Learning Winner-take-all Competition Between Groups of Neurons in Lateral Inhibitory Networks
It has long been known that lateral inhibition in neural networks can lead to a winner-take-all competition, so that only a single neuron is active at a steady state. Here we show...
Xiaohui Xie, Richard H. R. Hahnloser, H. Sebastian...
NIPS
1990
13 years 7 months ago
Bumptrees for Efficient Function, Constraint and Classification Learning
A new class of data structures called "bumptrees" is described. These structures are useful for efficiently implementing a number of neural network related operations. A...
Stephen M. Omohundro
JAPLL
2008
91views more  JAPLL 2008»
13 years 6 months ago
Undoing the effects of action sequences
In this paper, we study the following basic problem: After having executed a sequence of actions, find a sequence of actions that brings the agent back to the state just before th...
Thomas Eiter, Esra Erdem, Wolfgang Faber
BMCBI
2008
121views more  BMCBI 2008»
13 years 6 months ago
OntoDas - a tool for facilitating the construction of complex queries to the Gene Ontology
Background: Ontologies such as the Gene Ontology can enable the construction of complex queries over biological information in a conceptual way, however existing systems to do thi...
Kieran O'Neill, Alexander García Castro, An...