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ADCM
2010
59views more  ADCM 2010»
15 years 2 months ago
Sampling inequalities for infinitely smooth functions, with applications to interpolation and machine learning
Sampling inequalities give a precise formulation of the fact that a differentiable function cannot attain large values, if its derivatives are bounded and if it is small on a suff...
Christian Rieger, Barbara Zwicknagl
148
Voted
APPROX
2009
Springer
163views Algorithms» more  APPROX 2009»
15 years 9 months ago
The Power of Preemption on Unrelated Machines and Applications to Scheduling Orders
Abstract. Scheduling jobs on unrelated parallel machines so as to minimize the makespan is one of the basic, well-studied problems in the area of machine scheduling. In the first ...
José R. Correa, Martin Skutella, José...
111
Voted
PR
2007
104views more  PR 2007»
15 years 2 months ago
Optimizing resources in model selection for support vector machine
Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
Mathias M. Adankon, Mohamed Cheriet
EACL
2006
ACL Anthology
15 years 4 months ago
CDER: Efficient MT Evaluation Using Block Movements
Most state-of-the-art evaluation measures for machine translation assign high costs to movements of word blocks. In many cases though such movements still result in correct or alm...
Gregor Leusch, Nicola Ueffing, Hermann Ney
109
Voted
ECRTS
1998
IEEE
15 years 6 months ago
Tool-supported hierarchical design of distributed real-time systems
In this paper we demonstrate the usage of a formal description technique for real-time systems called PLCAutomaton [4] by applying this method to a real-world case study. To this ...
Henning Dierks, Josef Tapken