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NIPS
1994
15 years 5 months ago
Active Learning with Statistical Models
For many types of machine learning algorithms, one can compute the statistically optimal" way to select training data. In this paper, we review how optimal data selection tec...
David A. Cohn, Zoubin Ghahramani, Michael I. Jorda...
JCM
2008
76views more  JCM 2008»
15 years 4 months ago
Waterfilling Estimation for AWGN MIMO Channel Modeled as a Random Matrix
Waterfilling solutions provide optimal power distribution in multiple-input multiple-output (MIMO) system design. However, the optimal distribution is usually obtained through cost...
Victor M. Vergara, Silvio E. Barbin, Ramiro Jordan
NETWORKS
2010
15 years 2 months ago
A mean-variance model for the minimum cost flow problem with stochastic arc costs
This paper considers a minimum cost flow problem where arc costs are uncertain, and the decision maker wishes to minimize both the expected flow cost and the variance of this co...
Stephen D. Boyles, S. Travis Waller
ICASSP
2011
IEEE
14 years 8 months ago
Pronunciation variation modeling of non-native proper names by discriminative tree search
In this paper, the task of selecting the optimal subset of pronunciation variants from a set of automatically generated candidates is recast as a tree search problem. In this appr...
Line Adde, Torbjørn Svendsen
STOC
2006
ACM
129views Algorithms» more  STOC 2006»
16 years 4 months ago
Optimal phylogenetic reconstruction
One of the major tasks of evolutionary biology is the reconstruction of phylogenetic trees from molecular data. The evolutionary model is given by a Markov chain on the true evolu...
Constantinos Daskalakis, Elchanan Mossel, Sé...