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215
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FOCS
2004
IEEE
15 years 10 months ago
2004
IEEE
Stochastic optimization problems attempt to model uncertainty in the data by assuming that (part of) the input is specified in terms of a probability distribution. We consider the...
181
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CP
2006
Springer
15 years 10 months ago
2006
Springer
Abstract. Machine learning can be utilized to build models that predict the runtime of search algorithms for hard combinatorial problems. Such empirical hardness models have previo...
179
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CP
2006
Springer
15 years 10 months ago
2006
Springer
Interactive configuration is the concept of assisting a user in selecting values for parameters that respect given constraints. It was originally inspired by the product configurat...
197
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CRYPTO
2006
Springer
15 years 10 months ago
2006
Springer
We present the first universally verifiable voting scheme that can be based on a general assumption (existence of a non-interactive commitment scheme). Our scheme is also the first...
177
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DAGM
2006
Springer
15 years 10 months ago
2006
Springer
We propose a novel spectral filter optimization algorithm for the single trial ElectroEncephaloGraphy (EEG) classification problem. The algorithm is designed to improve the classif...