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NIPS
1998
15 years 8 months ago
Dynamically Adapting Kernels in Support Vector Machines
The kernel-parameter is one of the few tunable parameters in Support Vector machines, controlling the complexity of the resulting hypothesis. Its choice amounts to model selection...
Nello Cristianini, Colin Campbell, John Shawe-Tayl...
CORR
2011
Springer
213views Education» more  CORR 2011»
15 years 1 months ago
Adapting to Non-stationarity with Growing Expert Ensembles
Forecasting sequences by expert ensembles generally assumes stationary or near-stationary processes; however, in complex systems and many real-world applications, we are frequentl...
Cosma Rohilla Shalizi, Abigail Z. Jacobs, Aaron Cl...
UML
2001
Springer
15 years 11 months ago
Designing Procedural 4GL Applications through UML Modeling
: This paper presents a Unified Modeling Language (UML) model for VisualAge Generator (VG) business-oriented applications. This model was defined to bridge between two different mo...
Shiri Davidson, Mila Keren, Sara Porat, Gabi Zodik
DAC
1998
ACM
16 years 7 months ago
Approximation and Decomposition of Binary Decision Diagrams
Efficient techniques for the manipulation of Binary Decision Diagrams (BDDs) are key to the success of formal verification tools. Recent advances in reachability analysis and mode...
Kavita Ravi, Kenneth L. McMillan, Thomas R. Shiple...
RTSS
2008
IEEE
16 years 1 months ago
Symbolic Computation of Schedulability Regions Using Parametric Timed Automata
In this paper, we address the problem of symbolically computing the region in the parameter’s space that guarantees a feasible schedule, given a set of real-time tasks character...
Alessandro Cimatti, Luigi Palopoli, Yusi Ramadian