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» A New Approach for Solving the Maximum Clique Problem
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TNN
2010
234views Management» more  TNN 2010»
15 years 1 months ago
Novel maximum-margin training algorithms for supervised neural networks
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
Oswaldo Ludwig, Urbano Nunes
ICML
2008
IEEE
16 years 7 months ago
Accurate max-margin training for structured output spaces
Tsochantaridis et al. (2005) proposed two formulations for maximum margin training of structured spaces: margin scaling and slack scaling. While margin scaling has been extensivel...
Sunita Sarawagi, Rahul Gupta
EWCBR
2004
Springer
15 years 12 months ago
Case Retrieval Using Nonlinear Feature-Space Transformation
Abstract. Good similarity functions are at the heart of effective case-based reasoning. However, the similarity functions that have been designed so far have been mostly linear, we...
Rong Pan, Qiang Yang, Lei Li
TRANSCI
2008
94views more  TRANSCI 2008»
15 years 5 months ago
Routing for Relief Efforts
In the aftermath of a large disaster, the routing of vehicles carrying critical supplies can greatly impact the arrival times to those in need. Since it is critical that the deliv...
Ann Melissa Campbell, Dieter Vandenbussche, Willia...
SIGECOM
2009
ACM
91views ECommerce» more  SIGECOM 2009»
16 years 1 months ago
Destroy to save
We study the problem of how to allocate m identical items among n > m agents, assuming each agent desires exactly one item and has a private value for consuming the item. We as...
Geoffroy de Clippel, Victor Naroditskiy, Amy R. Gr...