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ECAL
2003
Springer
14 years 27 days ago
The Learning and Emergence of Mildly Context Sensitive Languages
This paper describes a framework for studies of the adaptive acquisition and evolution of language, with the following components: language learning begins by associating words wit...
Edward P. Stabler, Travis C. Collier, Gregory M. K...
ETS
2002
IEEE
98views Hardware» more  ETS 2002»
13 years 7 months ago
Integrating distributed learning in work situations: A case study
E-learning is fueling efforts to integrate distributed learning systems in organisations. This paper provides a case study of integrated work and learning processes in a customer ...
Kristian Folkman
BMCBI
2008
134views more  BMCBI 2008»
13 years 7 months ago
Identification of transcription factor contexts in literature using machine learning approaches
Background: Availability of information about transcription factors (TFs) is crucial for genome biology, as TFs play a central role in the regulation of gene expression. While man...
Hui Yang, Goran Nenadic, John A. Keane
ICGI
2010
Springer
13 years 8 months ago
Polynomial-Time Identification of Multiple Context-Free Languages from Positive Data and Membership Queries
This paper presents an efficient algorithm that identifies a rich subclass of multiple context-free languages in the limit from positive data and membership queries by observing wh...
Ryo Yoshinaka
CORR
2002
Springer
86views Education» more  CORR 2002»
13 years 7 months ago
The Management of Context-Sensitive Features: A Review of Strategies
In this paper, we review five heuristic strategies for handling context-sensitive features in supervised machine learning from examples. We discuss two methods for recovering lost...
Peter D. Turney