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101
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ICRA
2010
IEEE
158views Robotics» more  ICRA 2010»
14 years 11 months ago
Coping with imbalanced training data for improved terrain prediction in autonomous outdoor robot navigation
Abstract— Autonomous robot navigation in unstructured outdoor environments is a challenging and largely unsolved area of active research. The navigation task requires identifying...
Michael J. Procopio, Jane Mulligan, Gregory Z. Gru...
114
Voted
MICAI
2010
Springer
14 years 11 months ago
Supervised Machine Learning for Predicting the Meaning of Verb-Noun Combinations in Spanish
The meaning of such verb-noun combinations as take care, undertake work, pay attention can be generalized as DO what is designated by the noun. Likewise, the meaning of make a deci...
Olga Kolesnikova, Alexander F. Gelbukh
93
Voted
CORR
2000
Springer
92views Education» more  CORR 2000»
15 years 8 days ago
Predicting the expected behavior of agents that learn about agents: the CLRI framework
We describe a framework and equations used to model and predict the behavior of multi-agent systems (MASs) with learning agents. A difference equation is used for calculating the ...
José M. Vidal, Edmund H. Durfee
77
Voted
NAR
2007
65views more  NAR 2007»
14 years 12 months ago
STRING 7 - recent developments in the integration and prediction of protein interactions
Information on protein–protein interactions is still mostly limited to a small number of model organisms, and originates from a wide variety of experimental and computational te...
Christian von Mering, Lars Juhl Jensen, Michael Ku...
IJCBDD
2010
127views more  IJCBDD 2010»
14 years 11 months ago
Predicting protein complexes by data integration of different types of interactions
: The explosion of highthroughput interaction data from proteomics studies gives us the opportunity to integrate Protein-Protein Interactions (PPI) from different type of interacti...
Powell Patrick Cheng Tan, Daryanaz Dargahi, Freder...