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» Experimental perspectives on learning from imbalanced data
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2006
IEEE
14 years 1 months ago
Heterogeneous Parallel Computing in Remote Sensing Applications: Current Trends and Future Perspectives
Heterogeneous networks of computers have rapidly become a very promising commodity computing solution, expected to play a major role in the design of high performance computing sy...
Antonio J. Plaza
AIIA
2001
Springer
14 years 7 days ago
A Knowledge-Based Neurocomputing Approach to Extract Refined Linguistic Rules from Data
– This paper proposes a knowledge-based neurocomputing approach to extract and refine a set of linguistic rules from data. A neural network is designed along with its learning al...
Giovanna Castellano, Anna Maria Fanelli
RECOMB
2010
Springer
13 years 9 months ago
Leveraging Sequence Classification by Taxonomy-Based Multitask Learning
In this work we consider an inference task that biologists are very good at: deciphering biological processes by bringing together knowledge that has been obtained by experiments u...
Christian Widmer, Jose Leiva, Yasemin Altun, Gunna...
FLAIRS
2008
13 years 10 months ago
Learning in the Lexical-Grammatical Interface
Children are facile at both discovering word boundaries and using those words to build higher-level structures in tandem. Current research treats lexical acquisition and grammar i...
Tom Armstrong, Tim Oates
AAAI
2008
13 years 10 months ago
Integrating Multiple Learning Components through Markov Logic
This paper addresses the question of how statistical learning algorithms can be integrated into a larger AI system both from a practical engineering perspective and from the persp...
Thomas G. Dietterich, Xinlong Bao