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152
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NIPS
2007
15 years 7 months ago
Discriminative K-means for Clustering
We present a theoretical study on the discriminative clustering framework, recently proposed for simultaneous subspace selection via linear discriminant analysis (LDA) and cluster...
Jieping Ye, Zheng Zhao, Mingrui Wu
157
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CORR
2007
Springer
73views Education» more  CORR 2007»
15 years 6 months ago
Universal Reinforcement Learning
—We consider an agent interacting with an unmodeled environment. At each time, the agent makes an observation, takes an action, and incurs a cost. Its actions can influence futu...
Vivek F. Farias, Ciamac Cyrus Moallemi, Tsachy Wei...
ICDM
2008
IEEE
107views Data Mining» more  ICDM 2008»
16 years 25 days ago
Graph-Based Iterative Hybrid Feature Selection
When the number of labeled examples is limited, traditional supervised feature selection techniques often fail due to sample selection bias or unrepresentative sample problem. To ...
ErHeng Zhong, Sihong Xie, Wei Fan, Jiangtao Ren, J...
200
Voted
JMLR
2006
85views more  JMLR 2006»
15 years 6 months ago
Streamwise Feature Selection
In streamwise feature selection, new features are sequentially considered for addition to a predictive model. When the space of potential features is large, streamwise feature sel...
Jing Zhou, Dean P. Foster, Robert A. Stine, Lyle H...
GLOBECOM
2009
IEEE
15 years 10 months ago
Relay Selection and Data Transmission Throughput Tradeoff in Cooperative Systems
A common and practical paradigm in cooperative communications is the use of a dynamically selected 'best' relay to decode and forward information from a source to a dest...
Virag Shah, Neelesh B. Mehta, Raymond Yim