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NOLISP
2007
Springer
16 years 24 days ago
Trajectory Mixture Density Networks with Multiple Mixtures for Acoustic-Articulatory Inversion
We have previously proposed a trajectory model which is based on a mixture density network (MDN) trained with target variables augmented with dynamic features together with an algo...
Korin Richmond
164
Voted
DATE
2010
IEEE
163views Hardware» more  DATE 2010»
15 years 11 months ago
Efficient High-Level modeling in the networking domain
-- Starting Electronic System Level (ESL) design flows with executable High-Level Models (HLMs) has the potential to sustainably improve productivity. However, writing good HLMs fo...
Christian Zebelein, Joachim Falk, Christian Haubel...
TSP
2010
15 years 1 months ago
Doubly selective channel estimation using exponential basis models and subblock tracking
Three versions of a novel adaptive channel estimation approach, exploiting the over-sampled complex exponential basis expansion model (CE-BEM), is presented fordoubly selectivechan...
Jitendra K. Tugnait, Shuangchi He, Hyosung Kim
HYBRID
2001
Springer
15 years 11 months ago
Hybrid Modeling and Simulation of Biomolecular Networks
Abstract. In a biological cell, cellular functions and the genetic regulatory apparatus are implemented and controlled by a network of chemical reactions in which regulatory protei...
Rajeev Alur, Calin Belta, Franjo Ivancic
IJON
2006
71views more  IJON 2006»
15 years 6 months ago
A neurocomputational model of stochastic resonance and aging
Stochastic resonance (SR) is fundamental to physical and biological processes. Here, we use a stochastic gain-tuning model to investigate interactions between aging-related increa...
Shu-Chen Li, Timo von Oertzen, Ulman Lindenberger