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» Learning Recursive Automata from Positive Examples
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VMV
2008
107views Visualization» more  VMV 2008»
13 years 9 months ago
Learning with Few Examples using a Constrained Gaussian Prior on Randomized Trees
Machine learning with few training examples always leads to over-fitting problems, whereas human individuals are often able to recognize difficult object categories from only one ...
Erik Rodner, Joachim Denzler
TCS
2008
13 years 7 months ago
Kernel methods for learning languages
This paper studies a novel paradigm for learning formal languages from positive and negative examples which consists of mapping strings to an appropriate highdimensional feature s...
Leonid Kontorovich, Corinna Cortes, Mehryar Mohri
IEAAIE
2001
Springer
13 years 12 months ago
Selecting a Relevant Set of Examples to Learn IE-Rules
The growing availability of online text has lead to an increase in the use of automatic knowledge acquisition approaches from textual data, as in Information Extraction (IE). Some ...
Jordi Turmo, Horacio Rodríguez
ICALP
2007
Springer
14 years 1 months ago
Regular Languages of Nested Words: Fixed Points, Automata, and Synchronization
Abstract. Nested words are a restriction of the class of visibly pushdown languages that provide a natural model of runs of programs with recursive procedure calls. The usual conne...
Marcelo Arenas, Pablo Barceló, Leonid Libki...
OOPSLA
2009
Springer
14 years 1 days ago
Good examples for exposing bad practice: a "killer examples" workshop
The “Killer Examples” series of workshops are highly interactive workshops which have been an annual occurrence at OOPSLA since 2002. The goals of the workshop are to bring to...
Dale Skrien, Michael E. Caspersen, Jürgen B&o...