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» On the Complexity of Train Assignment Problems
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133
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KI
2007
Springer
15 years 9 months ago
Training on the Job - Collecting Experience with Hierarchical Hybrid Automata
We propose a novel approach to experience collection for autonomous service robots performing complex activities. This approach enables robots to data for many learning problems at...
Alexandra Kirsch, Michael Beetz
TWC
2010
14 years 10 months ago
Optimized Training Sequences for Spatially Correlated MIMO-OFDM
In this paper, the training sequence design for multiple-input multiple-output (MIMO) orthogonal frequencydivision multiplexing (OFDM) systems under the minimum mean square error (...
Hoang Duong Tuan, Ha Hoang Kha, Ha H. Nguyen, Viet...
135
Voted
KES
2006
Springer
15 years 3 months ago
Intelligent Environment for Training of Power Systems Operators
Training of operators has become an important problem to be faced by power systems: updating knowledge and skills. An operator must comprehend the physical operation of the process...
Gustavo Arroyo-Figueroa, Yasmín Herná...
106
Voted
DAC
2005
ACM
16 years 4 months ago
Locality-conscious workload assignment for array-based computations in MPSOC architectures
While the past research discussed several advantages of multiprocessor-system-on-a-chip (MPSOC) architectures from both area utilization and design verification perspectives over ...
Feihui Li, Mahmut T. Kandemir
104
Voted
ISCAS
2006
IEEE
81views Hardware» more  ISCAS 2006»
15 years 9 months ago
Equivalent output-filtering using fast QRD-RLS algorithm for burst-type training applications
— Fast QR decomposition RLS (FQRD-RLS) algorithms are well known for their good numerical properties and low computational complexity. The FQRD-RLS algorithms do not provide acce...
Mobien Shoaib, Stefan Werner, J. A. Apoliná...