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113
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GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
15 years 8 months ago
Learning noise
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
Michael D. Schmidt, Hod Lipson
104
Voted
HIPC
2007
Springer
15 years 8 months ago
Experiments with a Parallel External Memory System
Abstract. The theory of bulk-synchronous parallel computing has produced a large number of attractive algorithms, which are provably optimal in some sense, but typically require th...
Mohammad R. Nikseresht, David A. Hutchinson, Anil ...
139
Voted
ICALP
2007
Springer
15 years 8 months ago
Quasi-randomness and Algorithmic Regularity for Graphs with General Degree Distributions
Abstract. We deal with two intimately related subjects: quasi-randomness and regular partitions. The purpose of the concept of quasi-randomness is to measure how much a given graph...
Noga Alon, Amin Coja-Oghlan, Hiêp Hàn...
ICALP
2007
Springer
15 years 8 months ago
A Characterization of Non-interactive Instance-Dependent Commitment-Schemes (NIC)
Abstract. We provide a new characterization of certain zero-knowledge protocols as non-interactive instance-dependent commitment-schemes (NIC). To obtain this result we consider th...
Bruce M. Kapron, Lior Malka, Srinivasan Venkatesh
105
Voted
ISESE
2006
IEEE
15 years 8 months ago
Predicting component failures at design time
How do design decisions impact the quality of the resulting software? In an empirical study of 52 ECLIPSE plug-ins, we found that the software design as well as past failure histo...
Adrian Schröter, Thomas Zimmermann, Andreas Z...