1150 search results - page 84 / 230 » Tackling Large State Spaces in Performance Modelling |
103
click to vote
NIPS
2008
15 years 3 months ago
2008
Continuous attractor neural networks (CANNs) are emerging as promising models for describing the encoding of continuous stimuli in neural systems. Due to the translational invaria...
110
click to vote
ICML
1994
IEEE
15 years 5 months ago
1994
IEEE
Compositional Q-Learning (CQ-L) (Singh 1992) is a modular approach to learning to performcomposite tasks made up of several elemental tasks by reinforcement learning. Skills acqui...
115
click to vote
WSDM
2010
ACM
15 years 11 months ago
2010
ACM
This article describes an application of the partially observable Markov (POM) model to the analysis of a large scale commercial web search log. Mathematically, POM is a variant o...
134
click to vote
DALT
2007
Springer
15 years 7 months ago
2007
Springer
Abstract. Research on practical models of autonomous agents has largely focused on a procedural view of goal achievement. This allows for efficient implementations, but prevents an...
109
click to vote
CAISE
2009
Springer
15 years 8 months ago
2009
Springer
In this paper, we present a heuristic approach for finding errors and possible improvements in business process models. First, we translate the information that is included in a m...