319 search results - page 39 / 64 » Learning Nonlinear Manifolds from Time Series |
93
Voted
ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
A family of probabilistic time series models is developed to analyze the time evolution of topics in large document collections. The approach is to use state space models on the n...
AIME
2009
Springer
15 years 2 months ago
2009
Springer
Abstract. Mechanical ventilation can cause severe lung damage by inadequate adjustment of the ventilator. We introduce a Machine Learning approach to predict the pressure-dependent...
CORR
2010
Springer
14 years 9 months ago
2010
Springer
Given the return series for a set of instruments, a trading strategy is a switching function that transfers wealth from one instrument to another at specified times. We present ef...
ICDM
2008
IEEE
15 years 4 months ago
2008
IEEE
We consider the problem of Semi-supervised Learning (SSL) from general unlabeled data, which may contain irrelevant samples. Within the binary setting, our model manages to better...
ICRA
2000
IEEE
15 years 2 months ago
2000
IEEE
We propose a concept for integrating multiple sensors in real-time robot control. To increase the controller robustness under diverse uncertainties, the robot systematically gener...