113 search results - page 22 / 23 » Bayesian optimization for sensor set selection |
ATAL
2011
Springer
12 years 7 months ago
2011
Springer
A key component of any reinforcement learning algorithm is the underlying representation used by the agent. While reinforcement learning (RL) agents have typically relied on hand-...
BMCBI
2007
13 years 7 months ago
2007
Background: Boolean network (BN) modeling is a commonly used method for constructing gene regulatory networks from time series microarray data. However, its major drawback is that...
BMCBI
2010
13 years 7 months ago
2010
Background: Data from metabolomic studies are typically complex and high-dimensional. Principal component analysis (PCA) is currently the most widely used statistical technique fo...
CAISE
2004
Springer
14 years 27 days ago
2004
Springer
Abstract. Specification of systems in a software product line (product-line members) is often supported by domain-specific languages (DSLs) that provide pownguage abstractions for ...
INFOCOM
2010
IEEE
13 years 6 months ago
2010
IEEE
Abstract— MaxWeight algorithm, a.k.a., back-pressure algorithm, has received much attention as a viable solution for dynamic link scheduling in multi-hop wireless networks. The b...