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» Generalized Boosting Algorithms for Convex Optimization
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SIGIR
2008
ACM
13 years 8 months ago
Directly optimizing evaluation measures in learning to rank
One of the central issues in learning to rank for information retrieval is to develop algorithms that construct ranking models by directly optimizing evaluation measures used in i...
Jun Xu, Tie-Yan Liu, Min Lu, Hang Li, Wei-Ying Ma
SIAMJO
2010
127views more  SIAMJO 2010»
13 years 3 months ago
Trace Norm Regularization: Reformulations, Algorithms, and Multi-Task Learning
We consider a recently proposed optimization formulation of multi-task learning based on trace norm regularized least squares. While this problem may be formulated as a semidefini...
Ting Kei Pong, Paul Tseng, Shuiwang Ji, Jieping Ye
SODA
1992
ACM
140views Algorithms» more  SODA 1992»
13 years 10 months ago
Separation and Approximation of Polyhedral Objects
Given a family of disjoint polygons P1, P2, : : :, Pk in the plane, and an integer parameter m, it is NP-complete to decide if the Pi's can be pairwise separated by a polygon...
Joseph S. B. Mitchell, Subhash Suri
ATAL
2007
Springer
14 years 2 months ago
A globally optimal algorithm for TTD-MDPs
In this paper, we discuss the use of Targeted Trajectory Distribution Markov Decision Processes (TTD-MDPs)—a variant of MDPs in which the goal is to realize a specified distrib...
Sooraj Bhat, David L. Roberts, Mark J. Nelson, Cha...
HSNMC
2004
Springer
126views Multimedia» more  HSNMC 2004»
14 years 2 months ago
Hybrid Unicast and Multicast Flow Control: A Linear Optimization Approach
— In this paper, we present a solution to the general problem of flow control for both unicast and multicast IP networks. We formulate a convex optimization problem that can be ...
Homayoun Yousefi'zadeh, Fatemeh Fazel, Hamid Jafar...