19 search results - page 4 / 4 » Approximating a Gram Matrix for Improved Kernel-Based Learni... |
JMLR
2010
13 years 7 days ago
2010
With the goal to generate more scalable algorithms with higher efficiency and fewer open parameters, reinforcement learning (RL) has recently moved towards combining classical tec...
JAIR
2002
13 years 5 months ago
2002
The recursive least-squares (RLS) algorithm is one of the most well-known algorithms used in adaptive filtering, system identification and adaptive control. Its popularity is main...
ISCAS
2006
IEEE
13 years 11 months ago
2006
IEEE
— A subspace supervised learning algorithm named Discriminant Non-negative Matrix Factorization (DNMF) has been recently proposed for classifying human facial expressions. It dec...
GECCO
2005
Springer
13 years 11 months ago
2005
Springer
Several ways of using singular value decomposition (SVD), a linear algebra technique typically used for information retrieval, to decompose problems into subproblems are investiga...