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» Measuring Complexity of Intelligent Machines
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IROS
2006
IEEE
130views Robotics» more  IROS 2006»
15 years 3 months ago
A Novel Distributed Telerobotic System for Construction Machines Based on Modules Synchronization
— On a scene of a natural disaster, rescuers require heavy duty hydraulic machines to answer their need of large forces, or to approach an unreachable spot. Those industrial vehi...
Eric Rohmer, Kazuya Yoshida, E. Nakano
FOCS
2005
IEEE
15 years 3 months ago
Mechanism Design via Machine Learning
We use techniques from sample-complexity in machine learning to reduce problems of incentive-compatible mechanism design to standard algorithmic questions, for a wide variety of r...
Maria-Florina Balcan, Avrim Blum, Jason D. Hartlin...
COLING
2002
14 years 9 months ago
A Comparative Evaluation of Data-driven Models in Translation Selection of Machine Translation
We present a comparative evaluation of two data-driven models used in translation selection of English-Korean machine translation. Latent semantic analysis(LSA) and probabilistic ...
Yuseop Kim, Jeong Ho Chang, Byoung-Tak Zhang
INFORMS
2010
177views more  INFORMS 2010»
14 years 8 months ago
Binarized Support Vector Machines
The widely used Support Vector Machine (SVM) method has shown to yield very good results in Supervised Classification problems. Other methods such as Classification Trees have bec...
Emilio Carrizosa, Belen Martin-Barragan, Dolores R...
COLT
2003
Springer
15 years 2 months ago
Sequence Prediction Based on Monotone Complexity
This paper studies sequence prediction based on the monotone Kolmogorov complexity Km=−log m, i.e. based on universal deterministic/one-part MDL. m is extremely close to Solomon...
Marcus Hutter