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SADM
2008
178views more  SADM 2008»
15 years 6 months ago
Fast Projection-Based Methods for the Least Squares Nonnegative Matrix Approximation Problem
: Nonnegative matrix approximation (NNMA) is a popular matrix decomposition technique that has proven to be useful across a diverse variety of fields with applications ranging from...
Dongmin Kim, Suvrit Sra, Inderjit S. Dhillon
NECO
2010
103views more  NECO 2010»
15 years 5 months ago
Posterior Weighted Reinforcement Learning with State Uncertainty
Reinforcement learning models generally assume that a stimulus is presented that allows a learner to unambiguously identify the state of nature, and the reward received is drawn f...
Tobias Larsen, David S. Leslie, Edmund J. Collins,...
IDA
2009
Springer
15 years 4 months ago
Hierarchical Extraction of Independent Subspaces of Unknown Dimensions
Abstract. Independent Subspace Analysis (ISA) is an extension of Independent Component Analysis (ICA) that aims to linearly transform a random vector such as to render groups of it...
Peter Gruber, Harold W. Gutch, Fabian J. Theis
JGO
2011
122views more  JGO 2011»
15 years 1 months ago
Towards the global solution of the maximal correlation problem
The maximal correlation problem (MCP) aiming at optimizing correlation between sets of variables plays a very important role in many areas of statistical applications. Currently, a...
Lei-Hong Zhang, Li-Zhi Liao, Li-Ming Sun
CORR
2008
Springer
128views Education» more  CORR 2008»
15 years 6 months ago
Distributed Consensus over Wireless Sensor Networks Affected by Multipath Fading
The design of sensor networks capable of reaching a consensus on a globally optimal decision test, without the need for a fusion center, is a problem that has received considerable...
Gesualdo Scutari, Sergio Barbarossa