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168
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ICRA
2010
IEEE
104views Robotics» more  ICRA 2010»
15 years 2 months ago
Using model knowledge for learning inverse dynamics
— In recent years, learning models from data has become an increasingly interesting tool for robotics, as it allows straightforward and accurate model approximation. However, in ...
Duy Nguyen-Tuong, Jan Peters
158
Voted
MICRO
2010
IEEE
156views Hardware» more  MICRO 2010»
15 years 2 months ago
Explicit Communication and Synchronization in SARC
SARC merges cache controller and network interface functions by relying on a single hardware primitive: each access checks the tag and the state of the addressed line for possible...
Manolis Katevenis, Vassilis Papaefstathiou, Stamat...
131
Voted
PRL
2010
159views more  PRL 2010»
15 years 2 months ago
Creating diverse nearest-neighbour ensembles using simultaneous metaheuristic feature selection
The nearest-neighbour (1NN) classifier has long been used in pattern recognition, exploratory data analysis, and data mining problems. A vital consideration in obtaining good res...
Muhammad Atif Tahir, Jim E. Smith
161
Voted
CORR
2010
Springer
168views Education» more  CORR 2010»
15 years 2 months ago
Gaussian Process Structural Equation Models with Latent Variables
In a variety of disciplines such as social sciences, psychology, medicine and economics, the recorded data are considered to be noisy measurements of latent variables connected by...
Ricardo Silva
170
Voted
CEC
2010
IEEE
14 years 10 months ago
Parameter estimation with term-wise decomposition in biochemical network GMA models by hybrid regularized Least Squares-Particle
High-throughput analytical techniques such as nuclear magnetic resonance, protein kinase phosphorylation, and mass spectroscopic methods generate time dense profiles of metabolites...
Prospero C. Naval, Luis G. Sison, Eduardo R. Mendo...
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