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ICML
2004
IEEE
16 years 7 months ago
Learning associative Markov networks
Markov networks are extensively used to model complex sequential, spatial, and relational interactions in fields as diverse as image processing, natural language analysis, and bio...
Benjamin Taskar, Vassil Chatalbashev, Daphne Kolle...
ICALT
2003
IEEE
15 years 12 months ago
Gaining Computational Literacy by Creating Hybrid Aesthetic Learning Spaces
Although the technical skills of pupils are quite high, the current approach to gain media literacy still focusses on updating software applying skills, rather than exploring the ...
Daniela Reimann, Michael Herczeg, Thomas Winkler, ...
COLT
1992
Springer
15 years 10 months ago
Language Learning from Stochastic Input
Language learning from positive data in the Gold model of inductive inference is investigated in a setting where the data can be modeled as a stochastic process. Specifically, the...
Shyam Kapur, Gianfranco Bilardi
ECML
2006
Springer
15 years 10 months ago
Learning Stochastic Tree Edit Distance
Trees provide a suited structural representation to deal with complex tasks such as web information extraction, RNA secondary structure prediction, or conversion of tree structured...
Marc Bernard, Amaury Habrard, Marc Sebban
ECML
1991
Springer
15 years 10 months ago
Learning by Analogical Replay in PRODIGY: First Results
Robust reasoning requires learning from problem solving episodes. Past experience must be compiled to provide adaptation to new contingencies and intelligent modification of solut...
Manuela M. Veloso, Jaime G. Carbonell