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ICASSP
2011
IEEE
14 years 10 months ago
Sparse coding and dictionary learning based on the MDL principle
The power of sparse signal coding with learned overcomplete dictionaries has been demonstrated in a variety of applications and fields, from signal processing to statistical infe...
Ignacio Ramírez, Guillermo Sapiro
AAAI
2008
15 years 8 months ago
POIROT - Integrated Learning of Web Service Procedures
POIROT is an integration framework for combining machine learning mechanisms to learn hierarchical models of web services procedures from a single or very small set of demonstrati...
Mark H. Burstein, Robert Laddaga, David McDonald, ...
TEI
2010
ACM
160views Hardware» more  TEI 2010»
16 years 1 months ago
Think globally, build locally: a technological platform for low-cost, open-source, locally-assembled programmable bricks for edu
“Programmable bricks” are microcontroller-based devices that can be used in various educational projects, such as robotic prototypes, environmental sensing, and interactive ar...
Arnan Sipitakiat, Paulo Blikstein
FLAIRS
2007
15 years 8 months ago
Discriminating between Second Language Learning Text-Types
Text classification remains one of the major fields of research in natural language processing. This paper evaluates the use of the computational tool Coh-Metrix as a means to dis...
Scott A. Crossley, Philip M. McCarthy, Danielle S....
AAAI
2000
15 years 7 months ago
Information Extraction with HMM Structures Learned by Stochastic Optimization
Recent research has demonstrated the strong performance of hidden Markov models applied to information extraction--the task of populating database slots with corresponding phrases...
Dayne Freitag, Andrew McCallum