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» A Data Locality Optimizing Algorithm
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ICPR
2008
IEEE
15 years 9 months ago
Semi-supervised marginal discriminant analysis based on QR decomposition
In this paper, a novel subspace learning method, semi-supervised marginal discriminant analysis (SMDA), is proposed for classification. SMDA aims at maintaining the intrinsic neig...
Rui Xiao, Pengfei Shi
ICML
2002
IEEE
16 years 4 months ago
Hierarchically Optimal Average Reward Reinforcement Learning
Two notions of optimality have been explored in previous work on hierarchical reinforcement learning (HRL): hierarchical optimality, or the optimal policy in the space defined by ...
Mohammad Ghavamzadeh, Sridhar Mahadevan
IPPS
2006
IEEE
15 years 9 months ago
Neighbourhood maps: decentralised ranking in small-world P2P networks
Reputation in P2P networks is an important tool to encourage cooperation among peers. It is based on ranking of peers according to their past behaviour. In large-scale real world ...
Matteo Dell'Amico
116
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IPPS
1997
IEEE
15 years 7 months ago
The Sparse Cyclic Distribution against its Dense Counterparts
Several methods have been proposed in the literature for the distribution of data on distributed memory machines, either oriented to dense or sparse structures. Many of the real a...
Gerardo Bandera, Manuel Ujaldon, María A. T...
AAAI
2008
15 years 5 months ago
Instance-level Semisupervised Multiple Instance Learning
Multiple instance learning (MIL) is a branch of machine learning that attempts to learn information from bags of instances. Many real-world applications such as localized content-...
Yangqing Jia, Changshui Zhang