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» Modeling Sensorimotor Learning with Linear Dynamical Systems
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KDD
2004
ACM
135views Data Mining» more  KDD 2004»
14 years 8 months ago
Discovering additive structure in black box functions
Many automated learning procedures lack interpretability, operating effectively as a black box: providing a prediction tool but no explanation of the underlying dynamics that driv...
Giles Hooker
TABLEAUX
2009
Springer
14 years 2 months ago
A Novel Architecture for Situation Awareness Systems
Situation Awareness (SA) is the problem of comprehending elements of an environment within a volume of time and space. It is a crucial factor in decision-making in dynamic environm...
Franz Baader, Andreas Bauer 0002, Peter Baumgartne...
GCB
2004
Springer
101views Biometrics» more  GCB 2004»
14 years 1 months ago
Kleene's Theorem and the Solution of Metabolic Carbon Labeling Systems
: Carbon Labeling Systems (CLS) are large equation systems that describe the dynamics of labeled carbon atoms in a metabolic network. The rapid solution of these systems is the alg...
Nicole Isermann, Michael Weitzel, Wolfgang Wiecher...
EMNLP
2007
13 years 9 months ago
Finding Good Sequential Model Structures using Output Transformations
In Sequential Viterbi Models, such as HMMs, MEMMs, and Linear Chain CRFs, the type of patterns over output sequences that can be learned by the model depend directly on the modelâ...
Edward Loper
TPDS
2008
196views more  TPDS 2008»
13 years 7 months ago
End-to-End Energy Management in Networked Real-Time Embedded Systems
Recent technological advances have opened up a wide range of distributed real-time applications involving battery-driven embedded devices with local processing and wireless communi...
G. Sudha Anil Kumar, Govindarasu Manimaran, Zhengd...