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ICML
2010
IEEE
14 years 11 months ago
Learning Efficiently with Approximate Inference via Dual Losses
Many structured prediction tasks involve complex models where inference is computationally intractable, but where it can be well approximated using a linear programming relaxation...
Ofer Meshi, David Sontag, Tommi Jaakkola, Amir Glo...
CAD
2008
Springer
14 years 10 months ago
Improved Binary Space Partition merging
This paper presents a new method for evaluating boolean set operations between Binary Space Partition (BSP) trees. Our algorithm has many desirable features including both numeric...
Mikola Lysenko, Roshan D'Souza, Ching-Kuan Shene
JCO
2006
64views more  JCO 2006»
14 years 9 months ago
Traffic engineering of tunnel-based networks with class specific diversity requirements
Tunnel-based networks such as Multi-protocol Label switching (MPLS) are suitable for providing diversity guarantees to different service classes or customers. Based on the number ...
Shekhar Srivastava, Deep Medhi
ML
2008
ACM
162views Machine Learning» more  ML 2008»
14 years 9 months ago
Incorporating prior knowledge in support vector regression
This paper explores the addition of constraints to the linear programming formulation of the support vector regression problem for the incorporation of prior knowledge. Equality an...
Fabien Lauer, Gérard Bloch
SIAMDM
2002
124views more  SIAMDM 2002»
14 years 9 months ago
Scheduling Unrelated Machines by Randomized Rounding
We present a new class of randomized approximation algorithms for unrelated parallel machine scheduling problems with the average weighted completion time objective. The key idea i...
Andreas S. Schulz, Martin Skutella