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AAAI
2012
13 years 7 months ago
Transfer Learning with Graph Co-Regularization
Transfer learning proves to be effective for leveraging labeled data in the source domain to build an accurate classifier in the target domain. The basic assumption behind transf...
Mingsheng Long, Jianmin Wang 0001, Guiguang Ding, ...
ICASSP
2009
IEEE
15 years 11 months ago
RLS-weighted Lasso for adaptive estimation of sparse signals
The batch least-absolute shrinkage and selection operator (Lasso) has well-documented merits for estimating sparse signals of interest emerging in various applications, where obse...
Daniele Angelosante, Georgios B. Giannakis
ISAAC
2009
Springer
147views Algorithms» more  ISAAC 2009»
15 years 11 months ago
Computing a Smallest Multi-labeled Phylogenetic Tree from Rooted Triplets
Abstract. We investigate the computational complexity of a new combinatorial problem of inferring a smallest possible multi-labeled phylogenetic tree (MUL tree) which is consistent...
Sylvain Guillemot, Jesper Jansson, Wing-Kin Sung
137
Voted
ECAI
2006
Springer
15 years 8 months ago
Asynchronous Forward-Bounding for Distributed Constraints Optimization
A new search algorithm for solving distributed constraint optimization problems (DisCOPs) is presented. Agents assign variables sequentially and propagate their assignments asynchr...
Amir Gershman, Amnon Meisels, Roie Zivan
SODA
2008
ACM
97views Algorithms» more  SODA 2008»
15 years 6 months ago
Stochastic analyses for online combinatorial optimization problems
In this paper, we study online algorithms when the input is not chosen adversarially, but consists of draws from some given probability distribution. While this model has been stu...
Naveen Garg, Anupam Gupta, Stefano Leonardi, Piotr...