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NIPS
2003
13 years 11 months ago
Dynamical Modeling with Kernels for Nonlinear Time Series Prediction
We consider the question of predicting nonlinear time series. Kernel Dynamical Modeling (KDM), a new method based on kernels, is proposed as an extension to linear dynamical model...
Liva Ralaivola, Florence d'Alché-Buc
INFORMATICALT
2007
111views more  INFORMATICALT 2007»
13 years 9 months ago
Sequent Calculi for Branching Time Temporal Logics of Knowledge and Belief
In this paper we consider branching time temporal logics of knowledge and belief. These logics involve the discrete time linear temporal logic operators “next” and “until” ...
Jurate Sakalauskaite
ICASSP
2010
IEEE
13 years 7 months ago
Learning from other subjects helps reducing Brain-Computer Interface calibration time
A major limitation of Brain-Computer Interfaces (BCI) is their long calibration time, as much data from the user must be collected in order to tune the BCI for this target user. I...
Fabien Lotte, Cuntai Guan
SIPS
2007
IEEE
14 years 3 months ago
Sensitivity of Time-Division Multiplexing Parallel A/D Converters to Analog Imperfection
In this paper, the Time-Division Multiplexing (TDM) architecture for the Hybrid Filter Bank (HFB) A/D Converters (ADCs) is studied in the time domain. Giving a brief survey on the...
Davud Asemani, Jacques Oksman
ICDM
2006
IEEE
193views Data Mining» more  ICDM 2006»
14 years 3 months ago
Local Correlation Tracking in Time Series
We address the problem of capturing and tracking local correlations among time evolving time series. Our approach is based on comparing the local auto-covariance matrices (via the...
Spiros Papadimitriou, Jimeng Sun, Philip S. Yu