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SIAMJO
2008
104views more  SIAMJO 2008»
15 years 6 months ago
A Minimax Theorem with Applications to Machine Learning, Signal Processing, and Finance
This paper concerns a fractional function of the form xT a/ xT Bx, where B is positive definite. We consider the game of choosing x from a convex set, to maximize the function, an...
Seung-Jean Kim, Stephen P. Boyd
AUTOMATICA
2000
72views more  AUTOMATICA 2000»
15 years 6 months ago
Direct iterative tuning via spectral analysis
This paper introduces a nonparametric frequency-domain scheme for tuning closed-loop systems. A linear quadratic criterion is used for guiding the system towards an optimal-regula...
Leonardo C. Kammer, Robert R. Bitmead, Peter L. Ba...
PR
2000
130views more  PR 2000»
15 years 6 months ago
Self-annealing and self-annihilation: unifying deterministic annealing and relaxation labeling
Deterministic annealing and relaxation labeling algorithms for classification and matching are presented and discussed. A new approach--self annealing--is introduced to bring dete...
Anand Rangarajan
EMNLP
2011
14 years 6 months ago
Structured Sparsity in Structured Prediction
Linear models have enjoyed great success in structured prediction in NLP. While a lot of progress has been made on efficient training with several loss functions, the problem of ...
André F. T. Martins, Noah A. Smith, M&aacut...
JMLR
2012
13 years 9 months ago
Message-Passing Algorithms for MAP Estimation Using DC Programming
We address the problem of finding the most likely assignment or MAP estimation in a Markov random field. We analyze the linear programming formulation of MAP through the lens of...
Akshat Kumar, Shlomo Zilberstein, Marc Toussaint