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ECAL
2003
Springer
15 years 4 months 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»
14 years 11 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»
14 years 11 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
15 years 6 days 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»
14 years 11 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