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» Learning Bounds for Domain Adaptation
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84
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ICPR
2008
IEEE
16 years 1 months ago
Incremental machine learning techniques for document layout understanding
In real-world Digital Libraries, Artificial Intelligence techniques are essential for tackling the automatic document processing task with sufficient flexibility. The great variab...
Floriana Esposito, Marenglen Biba, Stefano Ferilli...
ICRA
2006
IEEE
104views Robotics» more  ICRA 2006»
15 years 6 months ago
Implicit Coordination in Robotic Teams using Learned Prediction Models
— Many application tasks require the cooperation of two or more robots. Humans are good at cooperation in shared workspaces, because they anticipate and adapt to the intentions a...
Freek Stulp, Michael Isik, Michael Beetz
CCGRID
2005
IEEE
15 years 6 months ago
Semantic search of learning services in a grid-based collaborative system
CSCL systems can benefit from using a grid, since it offers a common infrastructure allowing an extended pool of resources that can provide supercomputing capabilities as well as...
Guillermo Vega-Gorgojo, Miguel L. Bote-Lorenzo, Ed...
99
Voted
ACL
2003
15 years 1 months ago
Unsupervised Learning of Arabic Stemming Using a Parallel Corpus
This paper presents an unsupervised learning approach to building a non-English (Arabic) stemmer. The stemming model is based on statistical machine translation and it uses an Eng...
Monica Rogati, J. Scott McCarley, Yiming Yang
110
Voted
CSMR
2003
IEEE
15 years 5 months ago
CodeCrawler - Lessons Learned in Building a Software Visualization Tool
Software visualization tools face many challenges in terms of their implementation, including scalability, usability, adaptability, and durability. Such tools, like many other res...
Michele Lanza