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» Properties of Synthetic Optimization Problems
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CDC
2010
IEEE
182views Control Systems» more  CDC 2010»
14 years 7 months ago
An approximate dual subgradient algorithm for multi-agent non-convex optimization
We consider a multi-agent optimization problem where agents aim to cooperatively minimize a sum of local objective functions subject to a global inequality constraint and a global ...
Minghui Zhu, Sonia Martínez
78
Voted
ACL
1990
15 years 1 months ago
Free Indexation: Combinatorial Analysis and a Compositional Algorithm
The principle known as 'free indexation' plays an important role in the determination of the referential properties of noun phrases in the principleand-parameters langua...
Sandiway Fong
83
Voted
NIPS
2003
15 years 2 months ago
Extreme Components Analysis
Principal components analysis (PCA) is one of the most widely used techniques in machine learning and data mining. Minor components analysis (MCA) is less well known, but can also...
Max Welling, Felix V. Agakov, Christopher K. I. Wi...
92
Voted
JMLR
2010
103views more  JMLR 2010»
14 years 7 months ago
Learning Nonlinear Dynamic Models from Non-sequenced Data
Virtually all methods of learning dynamic systems from data start from the same basic assumption: the learning algorithm will be given a sequence of data generated from the dynami...
Tzu-Kuo Huang, Le Song, Jeff Schneider
117
Voted
OTM
2010
Springer
14 years 10 months ago
Composing Near-Optimal Expert Teams: A Trade-Off between Skills and Connectivity
Abstract. Rapidly changing business requirements necessitate the adhoc composition of expert teams to handle complex business cases. Expertcentric properties such as skills, howeve...
Christoph Dorn, Schahram Dustdar