1957 search results - page 209 / 392 » Approximate algorithms for neural-Bayesian approaches |
ICML
2009
IEEE
15 years 11 months ago
2009
IEEE
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
70
Voted
ICML
2000
IEEE
15 years 11 months ago
2000
IEEE
This paper discusses theoretical and experimental aspects of gradient-based approaches to the direct optimization of policy performance in controlled ??? ?s. We introduce ??? ?, a...
83
Voted
ICCD
2002
IEEE
15 years 7 months ago
2002
IEEE
Practical approaches for on-chip inductance extraction to obtain a sparse, stable and accurate inverse inductance matrix K are proposed. The novelty of our work is in using circui...
80
Voted
TACAS
2010
Springer
15 years 5 months ago
2010
Springer
We address the problem of computing the information leakage of a system in an efficient way. We propose two methods: one based on reducing the problem to reachability, and the oth...
100
Voted
GLOBECOM
2008
IEEE
15 years 4 months ago
2008
IEEE
— We consider the issue of fair share of the spectrum opportunity for the case of spectrum-overlay cognitive radio networks. Owing to the decentralized nature of the network, we ...