154 search results - page 5 / 31 » A General Cost Model for Dimensionality Reduction in High Di... |
AAAI
2008
13 years 8 months ago
2008
Decentralized Markov Decision Processes are a powerful general model of decentralized, cooperative multi-agent problem solving. The high complexity of the general problem leads to...
CIKM
2003
Springer
13 years 11 months ago
2003
Springer
High dimensional data sets are encountered in many modern database applications. The usual approach is to construct a summary of the data set through a lossy compression technique...
SIAMSC
2010
13 years 4 months ago
2010
A greedy algorithm for the construction of a reduced model with reduction in both parameter and state is developed for efficient solution of statistical inverse problems governed b...
SIGMOD
2009
ACM
14 years 6 months ago
2009
ACM
Nearest neighbor (NN) search in high dimensional space is an important problem in many applications. Ideally, a practical solution (i) should be implementable in a relational data...
NIPS
2003
13 years 7 months ago
2003
In this paper we introduce a new underlying probabilistic model for principal component analysis (PCA). Our formulation interprets PCA as a particular Gaussian process prior on a ...