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» Reinforcement Learning with Time
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COLT
1997
Springer
15 years 8 months ago
Estimation of Time-Varying Parameters in Statistical Models: An Optimization Approach
Abstract. We propose a convex optimization approach to solving the nonparametric regression estimation problem when the underlying regression function is Lipschitz continuous. This...
Dimitris Bertsimas, David Gamarnik, John N. Tsitsi...
FIMH
2009
Springer
15 years 1 months ago
Random Forest Classification for Automatic Delineation of Myocardium in Real-Time 3D Echocardiography
Automatic delineation of the myocardium in real-time 3D echocardiography may be used to aid the diagnosis of heart problems such as ischaemia, by enabling quantification of wall th...
Victor S. Lempitsky, Michael Verhoek, J. Alison No...
FORMATS
2007
Springer
15 years 10 months ago
On Timed Models of Gene Networks
Abstract. We present a systematic translation from timed models of genetic regulatory networks into products of timed automata to which one can apply verification tools in order l...
Grégory Batt, Ramzi Ben Salah, Oded Maler
AGILEDC
2005
IEEE
15 years 9 months ago
Estimating in Actual Time
In an effort to improve our understanding of the way we work, my team grouped together ideas from various sources to come up with an estimation scheme that avoided the confusing n...
Moses M. Hohman
PKDD
2004
Springer
102views Data Mining» more  PKDD 2004»
15 years 9 months ago
Improving the Performance of the RISE Algorithm
Ideally, a multi-strategy learning algorithm performs better than its component approaches. RISE is a multi-strategy algorithm that combines rule induction and instance-based learn...
Aloísio Carlos de Pina, Gerson Zaverucha