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113
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NIPS
1998
15 years 2 months ago
Semi-Supervised Support Vector Machines
We introduce a semi-supervised support vector machine (S3 VM) method. Given a training set of labeled data and a working set of unlabeled data, S3 VM constructs a support vector m...
Kristin P. Bennett, Ayhan Demiriz
93
Voted
EOR
2002
74views more  EOR 2002»
15 years 17 days ago
Modeling multistage cutting stock problems
In multistage cutting stock problems (CSP) the cutting process is distributed over several successive stages. Every stage except the last one produces intermediate products. The l...
Eugene J. Zak
134
Voted
BMCBI
2007
153views more  BMCBI 2007»
15 years 23 days ago
A new pairwise kernel for biological network inference with support vector machines
Background: Much recent work in bioinformatics has focused on the inference of various types of biological networks, representing gene regulation, metabolic processes, protein-pro...
Jean-Philippe Vert, Jian Qiu, William Stafford Nob...
105
Voted
COR
2007
80views more  COR 2007»
15 years 22 days ago
Scheduling with tool changes to minimize total completion time under controllable machining conditions
Scheduling under controllable machining conditions has been studied for some time. Scheduling with tool changes, particularly due to tool wear, has just begun to receive attention...
M. Selim Akturk, Jay B. Ghosh, Rabia K. Kayan
108
Voted
ICML
2010
IEEE
15 years 1 months ago
COFFIN: A Computational Framework for Linear SVMs
In a variety of applications, kernel machines such as Support Vector Machines (SVMs) have been used with great success often delivering stateof-the-art results. Using the kernel t...
Sören Sonnenburg, Vojtech Franc