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210
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ECML
2003
Springer
16 years 2 days ago
Logistic Model Trees
Abstract. Tree induction methods and linear models are popular techniques for supervised learning tasks, both for the prediction of nominal classes and continuous numeric values. F...
Niels Landwehr, Mark Hall, Eibe Frank
CDC
2009
IEEE
133views Control Systems» more  CDC 2009»
15 years 11 months ago
A symbolic model approach to the digital control of nonlinear time-delay systems
— In this paper we propose an approach to control design of nonlinear time–delay systems, which is based on the construction of symbolic models, where each symbolic state and e...
Giordano Pola, Pierdomenico Pepe, Maria Domenica D...
HYBRID
2001
Springer
15 years 11 months ago
Diagnosis of Physical Systems with Hybrid Models Using Parametrized Causality
Efficient algorithms exist for fault detection and isolation of physical systems based on functional redundancy. In a qualitative approach, this redundancy can be captured by a tem...
Pieter J. Mosterman
188
Voted
INFOCOM
2000
IEEE
15 years 11 months ago
Stochastic Modeling of TCP over Lossy Links
—An analytical framework for modeling the performance of a single TCP session in the presence of random packet loss is presented. A Markovian approach is developed that allows us...
Alhussein A. Abouzeid, Sumit Roy, Murat Azizoglu
ECML
2006
Springer
15 years 10 months ago
Learning Process Models with Missing Data
Abstract. In this paper, we review the task of inductive process modeling, which uses domain knowledge to compose explanatory models of continuous dynamic systems. Next we discuss ...
Will Bridewell, Pat Langley, Steve Racunas, Stuart...