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ATAL
2007
Springer
14 years 1 months ago
Model-based function approximation in reinforcement learning
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Nicholas K. Jong, Peter Stone
BMCBI
2005
67views more  BMCBI 2005»
13 years 7 months ago
Sequence signature analysis of chromosome identity in three Drosophila species
Background: All eukaryotic organisms need to distinguish each of their chromosomes. A few protein complexes have been described that recognise entire, specific chromosomes, for in...
Per Stenberg, Fredrik Pettersson, Anja O. Saura, A...
CIKM
2008
Springer
13 years 9 months ago
Learning a two-stage SVM/CRF sequence classifier
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
Guilherme Hoefel, Charles Elkan
ICFP
1999
ACM
13 years 11 months ago
Type Inference Builds a Short Cut to Deforestation
Deforestation optimises a functional program by transforming it into another one that does not create certain intermediate data structures. Short cut deforestation is a deforestat...
Olaf Chitil
IMC
2010
ACM
13 years 5 months ago
Eyeball ASes: from geography to connectivity
This paper presents a new approach to determine the geographical footprint of individual Autonomous Systems that directly provide service to end-users, i.e.,eyeball ASes. The key ...
Amir H. Rasti, Nazanin Magharei, Reza Rejaie, Walt...