85 search results - page 7 / 17 » Complexity of Continuous Space Machine Operations |
SIAMCO
2000
13 years 10 months ago
2000
In this paper the theory of evolution semigroups is developed and used to provide a framework to study the stability of general linear control systems. These include autonomous and...
ICML
2003
IEEE
14 years 11 months ago
2003
IEEE
Hierarchical reinforcement learning is a general framework which attempts to accelerate policy learning in large domains. On the other hand, policy gradient reinforcement learning...
GECCO
2006
Springer
14 years 2 months ago
2006
Springer
1 Learnable Evolution Model (LEM) is a form of non-Darwinian evolutionary computation that employs machine learning to guide evolutionary processes. Its main novelty are new type o...
APLAS
2010
ACM
13 years 9 months ago
2010
ACM
We consider programming language aspects of algorithms that operate on data too large to fit into memory. In previous work we have introduced IntML, a functional programming langu...
JMLR
2010
13 years 5 months ago
2010
We introduce a nonparametric representation for graphical model on trees which expresses marginals as Hilbert space embeddings and conditionals as embedding operators. This formul...