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» Modeling durations of syllables using neural networks
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IJCNN
2008
IEEE
15 years 6 months ago
Learning adaptive subject-independent P300 models for EEG-based brain-computer interfaces
Abstract— This paper proposes an approach to learn subjectindependent P300 models for EEG-based brain-computer interfaces. The P300 models are first learned using a pool of exis...
Shijian Lu, Cuntai Guan, Haihong Zhang
EUSFLAT
2009
148views Fuzzy Logic» more  EUSFLAT 2009»
14 years 9 months ago
Fuzzy Tendency based Time Series Model for Forecasting Server Traffic
- For modeling of change of terminal server load, the approach including representation of time series of server parameters in the form of fuzzy time series is used. Further in the...
Nadezhda Yarushkina, Tagir Unusov, Tatyana Afanasy...
IJCNN
2006
IEEE
15 years 5 months ago
A Structured Context Model for Grammar Learning
—We present a structured model of context that supports an integrated approach to language acquisition and use. The model extends an existing formal notation, Embodied Constructi...
Nancy Chang, Eva Mok
JMLR
2002
133views more  JMLR 2002»
14 years 11 months ago
Learning Precise Timing with LSTM Recurrent Networks
The temporal distance between events conveys information essential for numerous sequential tasks such as motor control and rhythm detection. While Hidden Markov Models tend to ign...
Felix A. Gers, Nicol N. Schraudolph, Jürgen S...
ISCAS
2005
IEEE
117views Hardware» more  ISCAS 2005»
15 years 5 months ago
A VLSI model of the bat dorsal nucleus of the lateral lemniscus for azimuthal echolocation
— The dorsal nucleus of the lateral lemniscus (DNLL) is a distinct group of auditory cells that play a strategic role in azimuthal echolocation in the bat. Dominated by EI-type c...
Rock Z. Shi, Timothy K. Horiuchi