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SSPR
2000
Springer
15 years 10 months ago
Prototype Learning with Attributed Relational Graphs
An algorithm for learning structural patterns given in terms of Attributed Relational Graphs (ARG's) is presented. The algorithm, based on inductive learning methodologies, pr...
Pasquale Foggia, Roberto Genna, Mario Vento
AAAI
2008
15 years 9 months ago
Active Learning for Pipeline Models
For many machine learning solutions to complex applications, there are significant performance advantages to decomposing the overall task into several simpler sequential stages, c...
Dan Roth, Kevin Small
CG
2006
Springer
15 years 8 months ago
Feature Construction for Reinforcement Learning in Hearts
Temporal difference (TD) learning has been used to learn strong evaluation functions in a variety of two-player games. TD-gammon illustrated how the combination of game tree search...
Nathan R. Sturtevant, Adam M. White
COLING
2008
15 years 8 months ago
Stopping Criteria for Active Learning of Named Entity Recognition
Active learning is a proven method for reducing the cost of creating the training sets that are necessary for statistical NLP. However, there has been little work on stopping crit...
Florian Laws, Hinrich Schütze
FECS
2008
148views Education» more  FECS 2008»
15 years 8 months ago
Net4Voice - New Technologies for voice-converting in barrier-free learning environment
- Net4Voice project consists in testing voice recognition techniques and methods within learning contexts. The need to support learning process with non traditional technologies de...
Raffaella Primiani, Daniela Tibaldi, Luca Garlasch...