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» Applications of semidefinite programming to coding theory
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GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
13 years 11 months ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa
EMSOFT
2006
Springer
13 years 11 months ago
An analysis framework for network-code programs
Distributed real-time systems require a predictable and verifiable mechanism to control the communication medium. Current real-time communication protocols are typically independe...
Madhukar Anand, Sebastian Fischmeister, Insup Lee
SAIG
2000
Springer
13 years 11 months ago
Generating Data Analysis Programs from Statistical Models
Extracting information from data, often also called data analysis, is an important scienti c task. Statistical approaches, which use methods from probability theory and numerical a...
Bernd Fischer 0002, Johann Schumann, Thomas Pressb...
ICSE
2012
IEEE-ACM
11 years 10 months ago
Axis: Automatically fixing atomicity violations through solving control constraints
Abstract—Atomicity, a general correctness criterion in concurrency programs, is often violated in real-world applications. The violations are difficult for developers to fix, m...
Peng Liu, Charles Zhang
SDM
2008
SIAM
161views Data Mining» more  SDM 2008»
13 years 9 months ago
Efficient Maximum Margin Clustering via Cutting Plane Algorithm
Maximum margin clustering (MMC) is a recently proposed clustering method, which extends the theory of support vector machine to the unsupervised scenario and aims at finding the m...
Bin Zhao, Fei Wang, Changshui Zhang